Unstructured Tree Search on SIMD Parallel Computers: A Summary of Results. - George Karypis; Vipin Kumar 001 (SC, 1992)

Efficient Parallel Mappings of a Dynamic Programming Algorithm: A Summary of Results. - George Karypis; Vipin Kumar 001 (IPPS, 1993)

Introduction to Parallel Computing. - Vipin Kumar 001; Ananth Grama; Anshul Gupta; George Karypis (Benjamin/Cummings, 1994)

Experiences with a Parallel Formulation of an Interior Point Algorithm. - George Karypis; Anshul Gupta; Vipin Kumar 001 (Parallel Processing of Discrete Optimization Problems, 1994)

A parallel formulation of interior point algorithms. - George Karypis; Anshul Gupta; Vipin Kumar 001 (SC, 1994)

Unstructured Tree Search on SIMD Parallel Computers. - George Karypis; Vipin Kumar 001 (IEEE Trans. Parallel Distributed Syst., 1994)

Multilevel Graph Partitioning Schemes. - George Karypis; Vipin Kumar 001 (ICPP (3), 1995)

A Highly Parallel Interior Point Algorithm. - George Karypis; Anshul Gupta; Vipin Kumar 001 (PP, 1995)

Analysis of Multilevel Graph Partitioning. - George Karypis; Vipin Kumar 001 (SC, 1995)

Parallel Multilevel Graph Partitioning. - George Karypis; Vipin Kumar 001 (IPPS, 1996)

Parallel Multilevel k-way Partitioning Scheme for Irregular Graphs. - George Karypis; Vipin Kumar 001 (SC, 1996)

Multilevel Hypergraph Partitioning: Application in VLSI Domain. - George Karypis; Rajat Aggarwal; Vipin Kumar 001; Shashi Shekhar 001 (DAC, 1997)

Clustering Based On Association Rule Hypergraphs. - Eui-Hong Han; George Karypis; Vipin Kumar 001; Bamshad Mobasher (DMKD, 1997)

Repartitioning of Adaptive Meshes: Experiments with Multilevel Diffusion. - Kirk Schloegel; George Karypis; Vipin Kumar 001 (Euro-Par, 1997)

A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems. - Mahesh V. Joshi; Anshul Gupta; George Karypis; Vipin Kumar 001 (HiPC, 1997)

Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results. - Anshul Gupta; Fred G. Gustavson; Mahesh V. Joshi; George Karypis; Vipin Kumar 001 (PP, 1997)

A Coarse-Grain Parallel Formulation of Multilevel k-way Graph Partitioning Algorithm. - George Karypis; Vipin Kumar 001 (PP, 1997)

Role of Message-Passing in Performance Oriented Parallel Programming. - Vipin Kumar 001; George Karypis; Ananth Grama (PP, 1997)

Parallel Threshold-based ILU Factorization. - George Karypis; Vipin Kumar 001 (SC, 1997)

Multilevel Diffusion Schemes for Repartitioning of Adaptive Meshes. - Kirk Schloegel; George Karypis; Vipin Kumar 001 (J. Parallel Distributed Comput., 1997)

Highly Scalable Parallel Algorithms for Sparse Matrix Factorization. - Anshul Gupta; George Karypis; Vipin Kumar 001 (IEEE Trans. Parallel Distributed Syst., 1997)

WebACE: A Web Agent for Document Categorization and Exploration. - Eui-Hong Han; Daniel Boley; Maria L. Gini; Robert Gross; Kyle Hastings; George Karypis; Vipin Kumar 001; Bamshad Mobasher; Jerome Moore (Agents, 1998)

ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets. - Mahesh V. Joshi; George Karypis; Vipin Kumar 001 (IPPS/SPDP, 1998)

Multilevel Algorithms for Multi-Constraint Graph Partitioning. - George Karypis; Vipin Kumar 001 (SC, 1998)

Dynamic Repartitioning of Adaptively Refined Meshes. - Kirk Schloegel; George Karypis; Vipin Kumar 001 (SC, 1998)

Load Balancing of Dynamic and Adaptive Mesh-Based Computations. - Kirk Schloegel; George Karypis; Vipin Kumar 001 (SRDS, 1998)

Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. - Eui-Hong Han; George Karypis; Vipin Kumar 001; Bamshad Mobasher (IEEE Data Eng. Bull., 1998)

A Parallel Algorithm for Multilevel Graph Partitioning and Sparse Matrix Ordering. - George Karypis; Vipin Kumar 001 (J. Parallel Distributed Comput., 1998)

Multilevel k-way Partitioning Scheme for Irregular Graphs. - George Karypis; Vipin Kumar 001 (J. Parallel Distributed Comput., 1998)

A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs. - George Karypis; Vipin Kumar 001 (SIAM J. Sci. Comput., 1998)

A New Algorithm for Multi-objective Graph Partitioning. - Kirk Schloegel; George Karypis; Vipin Kumar 001 (Euro-Par, 1999)

Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints. - William Leinberger; George Karypis; Vipin Kumar 001 (ICPP, 1999)

Efficient Parallel Algorithms for Mining Associations. - Mahesh V. Joshi; Eui-Hong Han; George Karypis; Vipin Kumar 001 (Large-Scale Parallel Data Mining, 1999)

PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver. - Mahesh V. Joshi; George Karypis; Vipin Kumar 001; Anshul Gupta; Fred G. Gustavson (PP, 1999)

Job Scheduling in the presence of Multiple Resource Requirements. - William Leinberger; George Karypis; Vipin Kumar 001 (SC, 1999)

Document Categorization and Query Generation on the World Wide Web Using WebACE. - Daniel Boley; Maria L. Gini; Robert Gross; Eui-Hong Han; Kyle Hastings; George Karypis; Vipin Kumar 001; Bamshad Mobasher; Jerome Moore (Artif. Intell. Rev., 1999)

Chameleon: Hierarchical Clustering Using Dynamic Modeling. - George Karypis; Eui-Hong Han; Vipin Kumar 001 (Computer, 1999)

Partitioning-based clustering for Web document categorization. - Daniel Boley; Maria L. Gini; Robert Gross; Eui-Hong Han; Kyle Hastings; George Karypis; Vipin Kumar 001; Bamshad Mobasher; Jerome Moore (Decis. Support Syst., 1999)

Parallel Multilevel series k-Way Partitioning Scheme for Irregular Graphs. - George Karypis; Vipin Kumar 001 (SIAM Rev., 1999)

Multilevel hypergraph partitioning: applications in VLSI domain. - George Karypis; Rajat Aggarwal; Vipin Kumar 001; Shashi Shekhar 001 (IEEE Trans. Very Large Scale Integr. Syst., 1999)

Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization & Retrieval. - Eui-Hong Han; George Karypis (CIKM, 2000)

Memory Management Techniques for Gang Scheduling. - William Leinberger; George Karypis; Vipin Kumar 001 (Euro-Par, 2000)

Parallel Multilevel Algorithms for Multi-constraint Graph Partitioning (Distinguished Paper). - Kirk Schloegel; George Karypis; Vipin Kumar 001 (Euro-Par, 2000)

Load Balancing Across Near-Homogeneous Multi-Resource Servers. - William Leinberger; George Karypis; Vipin Kumar 001 (Heterogeneous Computing Workshop, 2000)

Graph Partitioning for Dynamic, Adaptive, and Multi-phase Computations. - Vipin Kumar 001; Kirk Schloegel; George Karypis (IPDPS Workshops, 2000)

Centroid-Based Document Classification: Analysis and Experimental Results. - Eui-Hong Han; George Karypis (PKDD, 2000)

A Unified Algorithm for Load-balancing Adaptive Scientific Simulations. - Kirk Schloegel; George Karypis; Vipin Kumar 001 (SC, 2000)

Analysis of recommendation algorithms for e-commerce. - Badrul Munir Sarwar; George Karypis; Joseph A. Konstan; John Riedl (EC, 2000)

Graph partitioning and parallel computing. - Rupak Biswas; Bruce Hendrickson; George Karypis (Parallel Comput., 2000)

Scalable Parallel Data Mining for Association Rules. - Eui-Hong Han; George Karypis; Vipin Kumar 001 (IEEE Trans. Knowl. Data Eng., 2000)

Multilevel k-way Hypergraph Partitioning. - George Karypis; Vipin Kumar 001 (VLSI Design, 2000)

Evaluation of Item-Based Top-N Recommendation Algorithms. - George Karypis (CIKM, 2001)

Graph Partitioning for Dynamic, Adaptive and Multi-phase Scientific Simulations. - Kirk Schloegel; George Karypis; Vipin Kumar 001 (CLUSTER, 2001)

Parallel Tree Projection Algorithm for Sequence Mining. - Valerie Guralnik; Nivea Garg; George Karypis (Euro-Par, 2001)

A Scalable Algorithm for Clustering Sequential Data. - Valerie Guralnik; George Karypis (ICDM, 2001)

Frequent Subgraph Discovery. - Michihiro Kuramochi; George Karypis (ICDM, 2001)

LPMiner: An Algorithm for Finding Frequent Itemsets Using Length-Decreasing Support Constraint. - Masakazu Seno; George Karypis (ICDM, 2001)

A scalable algorithm for clustering protein sequences. - Valerie Guralnik; George Karypis (BIOKDD, 2001)

Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. - Eui-Hong Han; George Karypis; Vipin Kumar 001 (PAKDD, 2001)

Multilevel algorithms for generating coarse grids for multigrid methods. - Irene Moulitsas; George Karypis (SC, 2001)

Item-based collaborative filtering recommendation algorithms. - Badrul Munir Sarwar; George Karypis; Joseph A. Konstan; John Riedl (WWW, 2001)

When being Weak is Brave: Privacy in Recommender Systems - Naren Ramakrishnan; Benjamin J. Keller; Batul J. Mirza; Ananth Grama; George Karypis (CoRR, 2001)

Privacy Risks in Recommender Systems. - Naren Ramakrishnan; Benjamin J. Keller; Batul J. Mirza; Ananth Grama; George Karypis (IEEE Internet Comput., 2001)

Wavefront Diffusion and LMSR: Algorithms for Dynamic Repartitioning of Adaptive Meshes. - Kirk Schloegel; George Karypis; Vipin Kumar 001 (IEEE Trans. Parallel Distributed Syst., 2001)

Using conjunction of attribute values for classification. - Mukund Deshpande; George Karypis (CIKM, 2002)

Evaluation of hierarchical clustering algorithms for document datasets. - Ying Zhao 008; George Karypis (CIKM, 2002)

Multi-objective circuit partitioning for cutsize and path-based delay minimization. - Cristinel Ababei; Navaratnasothie Selvakkumaran; Kia Bazargan; George Karypis (ICCAD, 2002)

SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint. - Masakazu Seno; George Karypis (ICDM, 2002)

A polynomial time approximation scheme for rectilinear Steiner minimum tree construction in the presence of obstacles. - Jian Liu; Ying Zhao 008; Eugene Shragowitz; George Karypis (ICECS, 2002)

Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes. - Ying Zhao 008; George Karypis (ITCC, 2002)

Automated Approaches for Classifying Structures. - Mukund Deshpande; Michihiro Kuramochi; George Karypis (BIOKDD, 2002)

Evaluation of Techniques for Classifying Biological Sequences. - Mukund Deshpande; George Karypis (PAKDD, 2002)

Expert agreement and content based reranking in a meta search environment using Mearf. - B. Uygar Oztekin; George Karypis; Vipin Kumar 001 (WWW, 2002)

Parallel static and dynamic multi-constraint graph partitioning. - Kirk Schloegel; George Karypis; Vipin Kumar 001 (Concurr. Comput. Pract. Exp., 2002)

Intelligent metasearch engine for knowledge management. - Eui-Hong Han; George Karypis; Doug Mewhort; Keith Hatchard (CIKM, 2003)

Multi.Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization. - Navaratnasothie Selvakkumaran; George Karypis (ICCAD, 2003)

Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds. - Mukund Deshpande; Michihiro Kuramochi; George Karypis (ICDM, 2003)

Multi-Constraint Mesh Partitioning for Contact/Impact Computations. - George Karypis (SC, 2003)

Perimeter-degree: a priori metric for directly measuring and homogenizing interconnection complexity in multilevel placement. - Navaratnasothie Selvakkumaran; Phiroze N. Parakh; George Karypis (SLIP, 2003)

Predicting the Performance of Randomized Parallel Search: An Application to Robot Motion Planning. - Daniel J. Challou; Maria L. Gini; Vipin Kumar 001; George Karypis (J. Intell. Robotic Syst., 2003)

Soft clustering criterion functions for partitional document clustering: a summary of results. - Ying Zhao 008; George Karypis (CIKM, 2004)

Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources. - Navaratnasothie Selvakkumaran; Abhishek Ranjan; Salil Raje; George Karypis (DAC, 2004)

GREW-A Scalable Frequent Subgraph Discovery Algorithm. - Michihiro Kuramochi; George Karypis (ICDM, 2004)

SUMMARY: Efficiently Summarizing Transactions for Clustering. - Jianyong Wang 001; George Karypis (ICDM, 2004)

Efficient closed pattern mining in the presence of tough block constraints. - Krishna Gade; Jianyong Wang 001; George Karypis (KDD, 2004)

Finding Frequent Patterns in a Large Sparse Graph. - Michihiro Kuramochi; George Karypis (SDM, 2004)

BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint. - Jianyong Wang 001; George Karypis (SDM, 2004)

Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering. - Ying Zhao 008; George Karypis (Mach. Learn., 2004)

Parallel tree-projection-based sequence mining algorithms. - Valerie Guralnik; George Karypis (Parallel Comput., 2004)

An Efficient Algorithm for Discovering Frequent Subgraphs. - Michihiro Kuramochi; George Karypis (IEEE Trans. Knowl. Data Eng., 2004)

Item-based top-N recommendation algorithms. - Mukund Deshpande; George Karypis (ACM Trans. Inf. Syst., 2004)

Selective Markov models for predicting Web page accesses. - Mukund Deshpande; George Karypis (ACM Trans. Internet Techn., 2004)

Mining Chemical Compounds. - Mukund Deshpande; Michihiro Kuramochi; George Karypis (Data Mining in Bioinformatics, 2005)

Feature Mining for Prediction of Degree of Liver Fibrosis. - Benjamin W. Mayer; Huzefa Rangwala; Rohit Gupta 003; Jaideep Srivastava; George Karypis; Vipin Kumar 001; Piet C. de Groen (AMIA, 2005)

Feature-based recommendation system. - Eui-Hong Han; George Karypis (CIKM, 2005)

Effective Document Clustering for Large Heterogeneous Law Firm Collections. - Jack G. Conrad; Khalid Al-Kofahi; Ying Zhao 008; George Karypis (ICAIL, 2005)

Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach. - Al Mamunur Rashid; George Karypis; John Riedl (SDM, 2005)

HARMONY: Efficiently Mining the Best Rules for Classification. - Jianyong Wang 001; George Karypis (SDM, 2005)

Topic-driven Clustering for Document Datasets. - Ying Zhao 008; George Karypis (SDM, 2005)

Profile-based direct kernels for remote homology detection and fold recognition. - Huzefa Rangwala; George Karypis (Bioinform., 2005)

Finding Frequent Patterns in a Large Sparse Graph*. - Michihiro Kuramochi; George Karypis (Data Min. Knowl. Discov., 2005)

Finding Frequent Patterns Using Length-Decreasing Support Constraints. - Masakazu Seno; George Karypis (Data Min. Knowl. Discov., 2005)

Hierarchical Clustering Algorithms for Document Datasets. - Ying Zhao 008; George Karypis; Usama M. Fayyad (Data Min. Knowl. Discov., 2005)

Gene Classification Using Expression Profiles: A Feasibility Study. - Michihiro Kuramochi; George Karypis (Int. J. Artif. Intell. Tools, 2005)

Prediction of Contact Maps Using Support Vector Machines. - Ying Zhao 008; George Karypis (Int. J. Artif. Intell. Tools, 2005)

Frequent Substructure-Based Approaches for Classifying Chemical Compounds. - Mukund Deshpande; Michihiro Kuramochi; Nikil Wale; George Karypis (IEEE Trans. Knowl. Data Eng., 2005)

Criterion Functions for Clustering on High-Dimensional Data. - Ying Zhao 008; George Karypis (Grouping Multidimensional Data, 2006)

Partitioning and Load Balancing for Emerging Parallel Applications and Architectures. - Karen D. Devine; Erik G. Boman; George Karypis (Parallel Processing for Scientific Computing, 2006)

Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification. - Nikil Wale; George Karypis (ICDM, 2006)

Multilevel algorithms for partitioning power-law graphs. - Amine Abou-Rjeili; George Karypis (IPDPS, 2006)

Towards a Scalable k NN CF Algorithm: Exploring Effective Applications of Clustering. - Al Mamunur Rashid; Shyong K. Lam; Adam LaPitz; George Karypis; John Riedl (WEBKDD, 2006)

Coherent closed quasi-clique discovery from large dense graph databases. - Zhiping Zeng; Jianyong Wang 001; Lizhu Zhou; George Karypis (KDD, 2006)

Building multiclass classifiers for remote homology detection and fold recognition. - Huzefa Rangwala; George Karypis (BMC Bioinform., 2006)

On efficiently summarizing categorical databases. - Jianyong Wang 001; George Karypis (Knowl. Inf. Syst., 2006)

BIOKDD06: data mining in Bioinformatics. - Mohammed J. Zaki; George Karypis; Jiong Yang 001 (SIGKDD Explor., 2006)

Multiobjective hypergraph-partitioning algorithms for cut and maximum subdomain-degree minimization. - Navaratnasothie Selvakkumaran; George Karypis (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006)

On Mining Instance-Centric Classification Rules. - Jianyong Wang 001; George Karypis (IEEE Trans. Knowl. Data Eng., 2006)

A Multi-Level Parallel Implementation of a Program for Finding Frequent Patterns in a Large Sparse Graph. - Steven P. Reinhardt; George Karypis (IPDPS, 2007)

Discriminating Subsequence Discovery for Sequence Clustering. - Jianyong Wang 001; Yuzhou Zhang; Lizhu Zhou; George Karypis; Charu C. Aggarwal (SDM, 2007)

Data Mining in Bioinformatics (BIOKDD). - Mohammed J. Zaki; George Karypis; Jiong Yang 001 (Algorithms Mol. Biol., 2007)

Incremental window-based protein sequence alignment algorithms. - Huzefa Rangwala; George Karypis (Bioinform., 2007)

Discovering frequent geometric subgraphs. - Michihiro Kuramochi; George Karypis (Inf. Syst., 2007)

Effective Optimization Algorithms for Fragment-Assembly Based protein Structure Prediction. - Kevin W. DeRonne; George Karypis (J. Bioinform. Comput. Biol., 2007)

Clustering methodologies for identifying country core competencies. - Ronald N. Kostoff; J. Antonio del Río; Héctor D. Cortés; Charles Smith; Andrew Smith; Caroline S. Wagner; Loet Leydesdorff; George Karypis; Guido Malpohl; Rene Tshiteya (J. Inf. Sci., 2007)

Out-of-core coherent closed quasi-clique mining from large dense graph databases. - Zhiping Zeng; Jianyong Wang 001; Lizhu Zhou; George Karypis (ACM Trans. Database Syst., 2007)

fRMSDAlign: Protein Sequence Alignment Using Predicted Local Structure Information for Pairs with Low Sequence Identity. - Huzefa Rangwala; George Karypis (APBC, 2008)

Genome Alignments Using MPI-LAGAN. - Ruinan Zhang; Huzefa Rangwala; George Karypis (BIBM, 2008)

Architecture Aware Partitioning Algorithms. - Irene Moulitsas; George Karypis (ICA3PP, 2008)

The Set Classification Problem and Solution Methods. - Xia Ning; George Karypis (ICDM Workshops, 2008)

An Analysis of Information Content Present in Protein-DNA Interactions. - Christopher Kauffman; George Karypis (Pacific Symposium on Biocomputing, 2008)

Indirect Similarity Based Methods for Effective Scaffold-Hopping in Chemical Compounds. - Nikil Wale; Ian A. Watson; George Karypis (J. Chem. Inf. Model., 2008)

Comparison of descriptor spaces for chemical compound retrieval and classification. - Nikil Wale; Ian A. Watson; George Karypis (Knowl. Inf. Syst., 2008)

Learning preferences of new users in recommender systems: an information theoretic approach. - Al Mamunur Rashid; George Karypis; John Riedl (SIGKDD Explor., 2008)

Introduction to special issue on bioinformatics. - Mohammed J. Zaki; George Karypis; Jiong Yang 001; Wei Wang 010 (ACM Trans. Knowl. Discov. Data, 2008)

Scientific Data Analysis. - Chandrika Kamath 001; Nikil Wale; George Karypis; Gaurav Pandey 002; Vipin Kumar 001; Krishna Rajan; Nagiza F. Samatova; Paul Breimyer; Guruprasad Kora; Chongle Pan; Srikanth B. Yoginath (Scientific Data Management, 2009)

A Kernel Framework for Protein Residue Annotation. - Huzefa Rangwala; Christopher Kauffman; George Karypis (PAKDD, 2009)

Within-Network Classification Using Local Structure Similarity. - Christian Desrosiers; George Karypis (ECML/PKDD (1), 2009)

LIBRUS: combined machine learning and homology information for sequence-based ligand-binding residue prediction. - Christopher Kauffman; George Karypis (Bioinform., 2009)

svmPRAT: SVM-based Protein Residue Annotation Toolkit. - Huzefa Rangwala; Christopher Kauffman; George Karypis (BMC Bioinform., 2009)

CONTOUR: an efficient algorithm for discovering discriminating subsequences. - Jianyong Wang 001; Yuzhou Zhang; Lizhu Zhou; George Karypis; Charu C. Aggarwal (Data Min. Knowl. Discov., 2009)

Multi-Assay-Based Structure-Activity Relationship Models: Improving Structure-Activity Relationship Models by Incorporating Activity Information from Related Targets. - Xia Ning; Huzefa Rangwala; George Karypis (J. Chem. Inf. Model., 2009)

Common Pharmacophore Identification Using Frequent Clique Detection Algorithm. - Yevgeniy Podolyan; George Karypis (J. Chem. Inf. Model., 2009)

Target Fishing for Chemical Compounds Using Target-Ligand Activity Data and Ranking Based Methods. - Nikil Wale; George Karypis (J. Chem. Inf. Model., 2009)

Document Clustering. - Ying Zhao 008; George Karypis (Encyclopedia of Database Systems, 2009)

Content-Based Methods for Predicting Web-Site Demographic Attributes. - Santosh Kabbur; Eui-Hong Han; George Karypis (ICDM, 2010)

Message from the workshop chairs. - George Karypis; Srinivas Aluru; David A. Bader (IPDPS Workshops, 2010)

Enhancing link-based similarity through the use of non-numerical labels and prior information. - Christian Desrosiers; George Karypis (MLG@KDD, 2010)

A Novel Approach to Compute Similarities and Its Application to Item Recommendation. - Christian Desrosiers; George Karypis (PRICAI, 2010)

Toptmh: Topology Predictor for transmembrane alpha-helices. - Rezwan Ahmed; Huzefa Rangwala; George Karypis (J. Bioinform. Comput. Biol., 2010)

Assessing Synthetic Accessibility of Chemical Compounds Using Machine Learning Methods. - Yevgeniy Podolyan; Michael A. Walters; George Karypis (J. Chem. Inf. Model., 2010)

Multi-task Learning for Recommender System. - Xia Ning; George Karypis (ACML, 2010)

Document Clustering. - Ying Zhao 008; George Karypis (Encyclopedia of Machine Learning, 2010)

Trends in Chemical Graph Data Mining. - Nikil Wale; Xia Ning; George Karypis (Managing and Mining Graph Data, 2010)

Automatic detection of vaccine adverse reactions by incorporating historical medical conditions. - Zhonghua Jiang 003; George Karypis (BCB, 2011)

A Statistical Model for Topically Segmented Documents. - Giovanni Ponti; Andrea Tagarelli; George Karypis (Discovery Science, 2011)

SLIM: Sparse Linear Methods for Top-N Recommender Systems. - Xia Ning; George Karypis (ICDM, 2011)

METIS and ParMETIS. - George Karypis (Encyclopedia of Parallel Computing, 2011)

A Comprehensive Survey of Neighborhood-based Recommendation Methods. - Christian Desrosiers; George Karypis (Recommender Systems Handbook, 2011)

Fast and Effective Lossy Compression Algorithms for Scientific Datasets. - Jeremy Iverson; Chandrika Kamath 001; George Karypis (Euro-Par, 2012)

Topic Modeling for Segment-based Documents. - Giovanni Ponti; Andrea Tagarelli; George Karypis (SEBD, 2012)

Sparse linear methods with side information for Top-N recommendations. - Xia Ning; George Karypis (WWW (Companion Volume), 2012)

Multi-view learning via probabilistic latent semantic analysis. - Fuzhen Zhuang; George Karypis; Xia Ning; Qing He 003; Zhongzhi Shi (Inf. Sci., 2012)

Improved Machine Learning Models for Predicting Selective Compounds. - Xia Ning; Michael A. Walters; George Karypis (J. Chem. Inf. Model., 2012)

Algorithms for mining the evolution of conserved relational states in dynamic networks. - Rezwan Ahmed; George Karypis (Knowl. Inf. Syst., 2012)

Computational tools for protein-DNA interactions. - Christopher Kauffman; George Karypis (WIREs Data Mining Knowl. Discov., 2012)

Document Clustering: The Next Frontier. - David C. Anastasiu; Andrea Tagarelli; George Karypis (Data Clustering: Algorithms and Applications, 2013)

A Versatile Graph-Based Approach to Package Recommendation. - Roberto Interdonato; Salvatore Romeo; Andrea Tagarelli; George Karypis (ICTAI, 2013)

Multi-threaded Graph Partitioning. - Dominique Lasalle; George Karypis (IPDPS, 2013)

FISM: factored item similarity models for top-N recommender systems. - Santosh Kabbur; Xia Ning; George Karypis (KDD, 2013)

AREM: A Novel Associative Regression Model Based on EM Algorithm. - Zhonghua Jiang 003; George Karypis (PAKDD (1), 2013)

BDMPI: conquering BigData with small clusters using MPI. - Dominique LaSalle; George Karypis (DISCS@SC, 2013)

A segment-based approach to clustering multi-topic documents. - Andrea Tagarelli; George Karypis (Knowl. Inf. Syst., 2013)

Pareto Optimal Pairwise Sequence Alignment. - Kevin W. DeRonne; George Karypis (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

A novel two-box search paradigm for query disambiguation. - David C. Anastasiu; Byron J. Gao; Xing Jiang; George Karypis (World Wide Web, 2013)

Big Data Frequent Pattern Mining. - David C. Anastasiu; Jeremy Iverson; Shaden Smith; George Karypis (Frequent Pattern Mining, 2014)

Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition. - Niranjay Ravindran; Nicholas D. Sidiropoulos; Shaden Smith; George Karypis (ACSSC, 2014)

Signaling adverse drug reactions with novel feature-based similarity model. - Fan Yang 068; Xiaohui Yu 001; George Karypis (BIBM, 2014)

Opportunities for data-driven cloud-based mobile optimization. - William Myott; Thao Nguyen; Abhishek Chandra; George Karypis; Jon B. Weissman (CTS, 2014)

Welcome from DSAA 2014 chairs. - Philip S. Yu; Masaru Kitsuregawa; Hiroshi Motoda; Bart Goethals; Minyi Guo; Longbing Cao; George Karypis; Irwin King; Wei Wang 379 (DSAA, 2014)

L2AP: Fast cosine similarity search with prefix L-2 norm bounds. - David C. Anastasiu; George Karypis (ICDE, 2014)

NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems. - Santosh Kabbur; George Karypis (ICDM Workshops, 2014)

HOSLIM: Higher-Order Sparse LInear Method for Top-N Recommender Systems. - Evangelia Christakopoulou; George Karypis (PAKDD (2), 2014)

MPI for Big Data: New tricks for an old dog. - Dominique LaSalle; George Karypis (Parallel Comput., 2014)

L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning. - David C. Anastasiu; George Karypis (CIKM, 2015)

Efficient Nested Dissection for Multicore Architectures. - Dominique LaSalle; George Karypis (Euro-Par, 2015)

Understanding computer usage evolution. - David C. Anastasiu; Al Mamunur Rashid; Andrea Tagarelli; George Karypis (ICDE, 2015)

SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication. - Shaden Smith; Niranjay Ravindran; Nicholas D. Sidiropoulos; George Karypis (IPDPS, 2015)

Collaborative multi-regression models for predicting students' performance in course activities. - Asmaa Elbadrawy; R. Scott Studham; George Karypis (LAK, 2015)

Recent Advances in Recommender Systems and Future Directions. - Xia Ning; George Karypis (PReMI, 2015)

A Memory Management System Optimized for BDMPI's Memory and Execution Model. - Jeremy Iverson; George Karypis (EuroMPI, 2015)

PL2AP: fast parallel cosine similarity search. - David C. Anastasiu; George Karypis (IA3@SC, 2015)

Improving graph partitioning for modern graphs and architectures. - Dominique LaSalle; Md. Mostofa Ali Patwary; Nadathur Satish; Narayanan Sundaram; Pradeep Dubey; George Karypis (IA3@SC, 2015)

Tensor-matrix products with a compressed sparse tensor. - Shaden Smith; George Karypis (IA3@SC, 2015)

Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation. - Mohit Sharma 002; Jiayu Zhou; Junling Hu; George Karypis (SDM, 2015)

Multi-threaded modularity based graph clustering using the multilevel paradigm. - Dominique LaSalle; George Karypis (J. Parallel Distributed Comput., 2015)

Evaluation of connected-component labeling algorithms for distributed-memory systems. - Jeremy Iverson; Chandrika Kamath 001; George Karypis (Parallel Comput., 2015)

User-Specific Feature-Based Similarity Models for Top-n Recommendation of New Items. - Asmaa Elbadrawy; George Karypis (ACM Trans. Intell. Syst. Technol., 2015)

Algorithms for Mining the Coevolving Relational Motifs in Dynamic Networks. - Rezwan Ahmed; George Karypis (ACM Trans. Knowl. Discov. Data, 2015)

A Comprehensive Survey of Neighborhood-Based Recommendation Methods. - Xia Ning; Christian Desrosiers; George Karypis (Recommender Systems Handbook, 2015)

A Parallel Hill-Climbing Refinement Algorithm for Graph Partitioning. - Dominique LaSalle; George Karypis (ICPP, 2016)

A Medium-Grained Algorithm for Sparse Tensor Factorization. - Shaden Smith; George Karypis (IPDPS, 2016)

Grade Prediction with Course and Student Specific Models. - Agoritsa Polyzou; George Karypis (PAKDD (1), 2016)

Local Item-Item Models For Top-N Recommendation. - Evangelia Christakopoulou; George Karypis (RecSys, 2016)

Domain-Aware Grade Prediction and Top-n Course Recommendation. - Asmaa Elbadrawy; George Karypis (RecSys, 2016)

Fast Parallel Cosine K-Nearest Neighbor Graph Construction. - David C. Anastasiu; George Karypis (IA3@SC, 2016)

An exploration of optimization algorithms for high performance tensor completion. - Shaden Smith; Jongsoo Park; George Karypis (SC, 2016)

Predicting Student Performance Using Personalized Analytics. - Asmaa Elbadrawy; Agoritsa Polyzou; Zhiyun Ren; Mackenzie Sweeney; George Karypis; Huzefa Rangwala (Computer, 2016)

Grade prediction with models specific to students and courses. - Agoritsa Polyzou; George Karypis (Int. J. Data Sci. Anal., 2016)

Accounting for Language Changes Over Time in Document Similarity Search. - Sara Morsy; George Karypis (ACM Trans. Inf. Syst., 2016)

Enriching Course-Specific Regression Models with Content Features for Grade Prediction. - Qian Hu; Agoritsa Polyzou; George Karypis; Huzefa Rangwala (DSAA, 2017)

Accelerating the Tucker Decomposition with Compressed Sparse Tensors. - Shaden Smith; George Karypis (Euro-Par, 2017)

Truss decomposition on shared-memory parallel systems. - Shaden Smith; Xing Liu; Nesreen K. Ahmed; Ancy Sarah Tom; Fabrizio Petrini; George Karypis (HPEC, 2017)

Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms. - Ancy Sarah Tom; Narayanan Sundaram; Nesreen K. Ahmed; Shaden Smith; Stijn Eyerman; Midhunchandra Kodiyath; Ibrahim Hur; Fabrizio Petrini; George Karypis (HPEC, 2017)

Constrained Tensor Factorization with Accelerated AO-ADMM. - Shaden Smith; Alec Beri; George Karypis (ICPP, 2017)

Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory. - Shaden Smith; Jongsoo Park; George Karypis (IPDPS, 2017)

Improving Higher Education: Learning Analytics & Recommender Systems Research. - George Karypis (RecSys, 2017)

Cumulative Knowledge-based Regression Models for Next-term Grade Prediction. - Sara Morsy; George Karypis (SDM, 2017)

Efficient identification of Tanimoto nearest neighbors. - David C. Anastasiu; George Karypis (Int. J. Data Sci. Anal., 2017)

Context-Aware Recommendation-Based Learning Analytics Using Tensor and Coupled Matrix Factorization. - Faisal M. Almutairi; Nicholas D. Sidiropoulos; George Karypis (IEEE J. Sel. Top. Signal Process., 2017)

Scalability and Distribution of Collaborative Recommenders. - Evangelia Christakopoulou; Shaden Smith; Mohit Sharma 002; Alex Richards; David C. Anastasiu; George Karypis (Collaborative Recommendations, 2018)

Feature extraction for classifying students based on their academic performance. - Agoritsa Polyzou; George Karypis (EDM, 2018)

Text Segmentation on Multilabel Documents: A Distant-Supervised Approach. - Saurav Manchanda; George Karypis (ICDM, 2018)

Local Latent Space Models for Top-N Recommendation. - Evangelia Christakopoulou; George Karypis (KDD, 2018)

Distributed Representation of Multi-sense Words: A Loss Driven Approach. - Saurav Manchanda; George Karypis (PAKDD (2), 2018)

Streaming Tensor Factorization for Infinite Data Sources. - Shaden Smith; Kejun Huang; Nicholas D. Sidiropoulos; George Karypis (SDM, 2018)

Recent Advances in Recommender Systems: Sets, Local Models, Coverage, and Errors. - George Karypis (WWW (Companion Volume), 2018)

Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph. - Zhuliu Li; Raphael Petegrosso; Shaden Smith; David Sterling; George Karypis; Rui Kuang (CoRR, 2018)

A virtual memory manager optimized for node-level cooperative multi-tasking in memory constrained systems. - Jeremy Iverson; George Karypis (Int. J. High Perform. Comput. Appl., 2018)

HPC formulations of optimization algorithms for tensor completion. - Shaden Smith; Jongsoo Park; George Karypis (Parallel Comput., 2018)

NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. - Lisa Singh; Amol Deshpande; Wenchao Zhou; Arindam Banerjee 001; Alex J. Bowers; Sorelle A. Friedler; H. V. Jagadish; George Karypis; Zoran Obradovic; Anil Vullikanti; Wangda Zuo (SIGMOD Rec., 2018)

Document Clustering. - Ying Zhao 008; George Karypis (Encyclopedia of Database Systems (2nd ed.), 2018)

Intent Term Weighting in E-commerce Queries. - Saurav Manchanda; Mohit Sharma 002; George Karypis (CIKM, 2019)

Neural Attentive Knowledge-based Model for Grade Prediction. - Sara Morsy; George Karypis (EDM, 2019)

A Self Attentive model for Knowledge Tracing. - Shalini Pandey; George Karypis (EDM, 2019)

Scholars Walk: A Markov Chain Framework for Course Recommendation. - Agoritsa Polyzou; Athanasios N. Nikolakopoulos; George Karypis (EDM, 2019)

Structured Dictionary Learning for Energy Disaggregation. - Shalini Pandey; George Karypis (e-Energy, 2019)

Streaming and Batch Algorithms for Truss Decomposition. - Venkata Rohit Jakkula; George Karypis (GC, 2019)

A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures. - Ancy Sarah Tom; George Karypis (ICPP, 2019)

UPM: Discovering Course Enrollment Sequences Associated with Success. - Asmaa Elbadrawy; George Karypis (LAK, 2019)

A Study on Curriculum Planning and Its Relationship with Graduation GPA and Time To Degree. - Sara Morsy; George Karypis (LAK, 2019)

Causal Inference in Higher Education: Building Better Curriculums. - Prableen Kaur; Agoritsa Polyzou; George Karypis (L@S, 2019)

Personalized diffusions for top-n recommendation. - Athanasios N. Nikolakopoulos; Dimitris Berberidis; George Karypis; Georgios B. Giannakis (RecSys, 2019)

RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation. - Athanasios N. Nikolakopoulos; George Karypis (WSDM, 2019)

Adaptive matrix completion for the users and the items in tail. - Mohit Sharma 002; George Karypis (WWW, 2019)

Will this Course Increase or Decrease Your GPA? Towards Grade-aware Course Recommendation. - Sara Morsy; George Karypis (CoRR, 2019)

Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation. - Mohit Sharma 002; Jiayu Zhou; Junling Hu; George Karypis (CoRR, 2019)

Sparse Neural Attentive Knowledge-based Models for Grade Prediction. - Sara Morsy; George Karypis (CoRR, 2019)

Intent term selection and refinement in e-commerce queries. - Saurav Manchanda; Mohit Sharma 002; George Karypis (CoRR, 2019)

Parallel cosine nearest neighbor graph construction. - David C. Anastasiu; George Karypis (J. Parallel Distributed Comput., 2019)

Learning from Sets of Items in Recommender Systems. - Mohit Sharma 002; F. Maxwell Harper; George Karypis (ACM Trans. Interact. Intell. Syst., 2019)

Feature Extraction for Next-Term Prediction of Poor Student Performance. - Agoritsa Polyzou; George Karypis (IEEE Trans. Learn. Technol., 2019)

CAWA: An Attention-Network for Credit Attribution. - Saurav Manchanda; George Karypis (AAAI, 2020)

Learning Student Interest Trajectory for MOOC Thread Recommendation. - Shalini Pandey; Andrew S. Lan; George Karypis; Jaideep Srivastava (ICDM (Workshops), 2020)

Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties. - Zeren Shui; George Karypis (ICDM, 2020)

GrAPL 2020 Keynote Speaker Deep Graph Library: Overview, Updates, and Future Developments. - George Karypis (IPDPS Workshops, 2020)

Scalable Graph Neural Networks with Deep Graph Library. - Da Zheng; Minjie Wang; Quan Gan; Zheng Zhang 001; George Karypis (KDD, 2020)

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. - Da Zheng; Chao Ma 025; Minjie Wang; Jinjing Zhou; Qidong Su; Xiang Song 003; Quan Gan; Zheng Zhang 001; George Karypis (IA3@SC, 2020)

DGL-KE: Training Knowledge Graph Embeddings at Scale. - Da Zheng; Xiang Song 003; Chao Ma 025; Zeyuan Tan; Zihao Ye 001; Jin Dong; Hao Xiong; Zheng Zhang 001; George Karypis (SIGIR, 2020)

Learning Graph Neural Networks with Deep Graph Library. - Da Zheng; Minjie Wang; Quan Gan; Zheng Zhang 001; George Karypis (WWW (Companion Volume), 2020)

Context-aware Non-linear and Neural Attentive Knowledge-based Models for Grade Prediction. - Sara Morsy; George Karypis (CoRR, 2020)

Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning. - Xiangxiang Zeng; Xiang Song 003; Tengfei Ma 002; Xiaoqin Pan; Yadi Zhou; Yuan Hou; Zheng Zhang 001; George Karypis; Feixiong Cheng (CoRR, 2020)

Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing. - Vassilis N. Ioannidis; Da Zheng; George Karypis (CoRR, 2020)

PanRep: Universal node embeddings for heterogeneous graphs. - Vassilis N. Ioannidis; Da Zheng; George Karypis (CoRR, 2020)

COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature. - Colby Wise; Vassilis N. Ioannidis; Miguel Romero Calvo; Xiang Song 003; George Price; Ninad Kulkarni; Ryan Brand; Parminder Bhatia; George Karypis (CoRR, 2020)

Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning. - Costas Mavromatis; George Karypis (CoRR, 2020)

Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks. - Athanasios N. Nikolakopoulos; George Karypis (ACM Trans. Knowl. Discov. Data, 2020)

Importance Assessment in Scholarly Networks. - Saurav Manchanda; George Karypis (SDU@AAAI, 2021)

Position-based Hash Embeddings For Scaling Graph Neural Networks. - Maria Kalantzi; George Karypis (IEEE BigData, 2021)

Distant-Supervised Slot-Filling for E-Commerce Queries. - Saurav Manchanda; Mohit Sharma 002; George Karypis (IEEE BigData, 2021)

Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. - Saurav Manchanda; Da Zheng; George Karypis (IEEE BigData, 2021)

Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing. - Haoyu He; Xingjian Shi; Jonas Mueller 001; Sheng Zha; Mu Li 003; George Karypis (SustaiNLP@EMNLP, 2021)

Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics. - Saurav Manchanda; George Karypis (EMNLP (1), 2021)

Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. - Jialin Dong; Da Zheng; Lin F. Yang; George Karypis (KDD, 2021)

2nd International Workshop on Industrial Recommendation Systems (IRS). - Jianpeng Xu; Lingfei Wu 001; Xiaolin Pang 001; Mohit Sharma 002; Dawei Yin; George Karypis; Justin Basilico; Philip S. Yu (KDD, 2021)

Universal Representation for Code. - Linfeng Liu; Hoan Nguyen; George Karypis; Srinivasan Sengamedu (PAKDD (3), 2021)

Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs. - Costas Mavromatis; George Karypis (PAKDD (1), 2021)

IACN: Influence-Aware and Attention-Based Co-evolutionary Network for Recommendation. - Shalini Pandey; George Karypis; Jaideep Srivastava (PAKDD (2), 2021)

EX3: Explainable Attribute-aware Item-set Recommendations. - Yikun Xian; Tong Zhao 002; Jin Li 003; Jim Chan; Andrey Kan; Jun Ma 029; Xin Luna Dong; Christos Faloutsos; George Karypis; S. Muthukrishnan 001; Yongfeng Zhang (RecSys, 2021)

Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks. - Balasubramaniam Srinivasan; Da Zheng; George Karypis (SDM, 2021)

Scalable Graph Neural Networks with Deep Graph Library. - Da Zheng; Minjie Wang; Quan Gan; Xiang Song 003; Zheng Zhang 001; George Karypis (WSDM, 2021)

Learning Student Interest Trajectory for MOOCThread Recommendation. - Shalini Pandey; Andrew S. Lan; George Karypis; Jaideep Srivastava (CoRR, 2021)

An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset. - Shalini Pandey; George Karypis; Jaideep Srivastava (CoRR, 2021)

DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science. - Mufei Li; Jinjing Zhou; Jiajing Hu; Wenxuan Fan; Yangkang Zhang; Yaxin Gu; George Karypis (CoRR, 2021)

TraverseNet: Unifying Space and Time in Message Passing. - Zonghan Wu; Da Zheng; Shirui Pan; Quan Gan; Guodong Long; George Karypis (CoRR, 2021)

Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems. - Athanasios N. Nikolakopoulos; Xia Ning; Christian Desrosiers; George Karypis (CoRR, 2021)

FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation. - Agoritsa Polyzou; Maria Kalantzi; George Karypis (CoRR, 2021)

HeMI: Multi-view Embedding in Heterogeneous Graphs. - Costas Mavromatis; George Karypis (CoRR, 2021)

Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation. - Cole Hawkins; Vassilis N. Ioannidis; Soji Adeshina; George Karypis (CoRR, 2021)

Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces. - Fabio Broccatelli; Richard Trager; Michael Reutlinger; George Karypis; Mufei Li (CoRR, 2021)

TempoQR: Temporal Question Reasoning over Knowledge Graphs. - Costas Mavromatis; Prasanna Lakkur Subramanyam; Vassilis N. Ioannidis; Soji Adeshina; Phillip Ryan Howard; Tetiana Grinberg; Nagib Hakim; George Karypis (CoRR, 2021)

Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. - Da Zheng; Xiang Song 003; Chengru Yang; Dominique LaSalle; Qidong Su; Minjie Wang; Chao Ma 025; George Karypis (CoRR, 2021)

TempoQR: Temporal Question Reasoning over Knowledge Graphs. - Costas Mavromatis; Prasanna Lakkur Subramanyam; Vassilis N. Ioannidis; Adesoji Adeshina; Phillip Ryan Howard; Tetiana Grinberg; Nagib Hakim; George Karypis (AAAI, 2022)

Meta-learning via Language Model In-context Tuning. - Yanda Chen; Ruiqi Zhong; Sheng Zha; George Karypis; He He 001 (ACL (1), 2022)

Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. - Trong Nghia Hoang; Anoop Deoras; Tong Zhao 002; Jin Li 003; George Karypis (AISTATS, 2022)

ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs. - Costas Mavromatis; George Karypis (EMNLP (Findings), 2022)

PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks. - Soji Adeshina; Jian Zhang; Muhyun Kim; Min Chen; Rizal Fathony; Advitiya Vashisht; Jia Chen; George Karypis (ICKG, 2022)

Nimble GNN Embedding with Tensor-Train Decomposition. - Chunxing Yin; Da Zheng; Israt Nisa; Christos Faloutsos; George Karypis; Richard W. Vuduc (KDD, 2022)

Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs. - Da Zheng; Xiang Song 003; Chengru Yang; Dominique LaSalle; George Karypis (KDD, 2022)

ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. - Zhenwei Dai; Vasileios Ioannidis; Soji Adeshina; Zak Jost; Christos Faloutsos; George Karypis (LoG, 2022)

Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. - Vishakh Padmakumar; Leonard Lausen; Miguel Ballesteros; Sheng Zha; He He 001; George Karypis (NAACL-HLT, 2022)

Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties. - Zeren Shui; Daniel S. Karls; Mingjian Wen; Ilia A. Nikiforov; Ellad B. Tadmor; George Karypis (NeurIPS, 2022)

Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. - Ancy Sarah Tom; Nesreen K. Ahmed; George Karypis (ECML/PKDD (2), 2022)

Coarse-to-Fine Sparse Sequential Recommendation. - Jiacheng Li 003; Tong Zhao 002; Jin Li 003; Jim Chan; Christos Faloutsos; George Karypis; Soo-Min Pantel; Julian J. McAuley (SIGIR, 2022)

Graph Neural Network Research at AWS AI. - George Karypis (WSDM, 2022)

TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs. - Hongkuan Zhou; Da Zheng; Israt Nisa; Vasileios Ioannidis; Xiang Song 003; George Karypis (CoRR, 2022)

Efficient and effective training of language and graph neural network models. - Vassilis N. Ioannidis; Xiang Song 003; Da Zheng; Houyu Zhang; Jun Ma 029; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; George Karypis (CoRR, 2022)

Variational Causal Inference. - Yulun Wu; Layne C. Price; Zichen Wang 002; Vassilis N. Ioannidis; George Karypis (CoRR, 2022)

Differentially Private Bias-Term only Fine-tuning of Foundation Models. - Zhiqi Bu; Yu-Xiang Wang 003; Sheng Zha; George Karypis (CoRR, 2022)

SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. - Chaoyang He 001; Shuai Zheng 004; Aston Zhang; George Karypis; Trishul Chilimbi; Mahdi Soltanolkotabi; Salman Avestimehr (CoRR, 2022)

MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. - Zhen Zhang 063; Shuai Zheng 004; Yida Wang 003; Justin Chiu; George Karypis; Trishul Chilimbi; Mu Li 003; Xin Jin 008 (Proc. VLDB Endow., 2022)

TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. - Hongkuan Zhou; Da Zheng; Israt Nisa; Vassilis N. Ioannidis; Xiang Song 003; George Karypis (Proc. VLDB Endow., 2022)

Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. - Zhuliu Li; Raphael Petegrosso; Shaden Smith; David Sterling; George Karypis; Rui Kuang (IEEE Trans. Knowl. Data Eng., 2022)

FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning. - Maria Kalantzi; Agoritsa Polyzou; George Karypis (IEEE Trans. Learn. Technol., 2022)

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. - Yixin Liu 001; Zhao Li 007; Shirui Pan; Chen Gong 002; Chuan Zhou 001; George Karypis (IEEE Trans. Neural Networks Learn. Syst., 2022)

Trust Your Neighbors: A Comprehensive Survey of Neighborhood-Based Methods for Recommender Systems. - Athanasios N. Nikolakopoulos; Xia Ning; Christian Desrosiers; George Karypis (Recommender Systems Handbook, 2022)

Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. - Hengzhi Pei; Jinman Zhao; Leonard Lausen; Sheng Zha; George Karypis (AAAI, 2023)

Automatic Table Union Search with Tabular Representation Learning. - Xuming Hu; Shen Wang 005; Xiao Qin 003; Chuan Lei; Zhengyuan Shen; Christos Faloutsos; Asterios Katsifodimos; George Karypis; Lijie Wen 001; Philip S. Yu (ACL (Findings), 2023)

NameGuess: Column Name Expansion for Tabular Data. - Jiani Zhang 003; Zhengyuan Shen; Balasubramaniam Srinivasan; Shen Wang 005; Huzefa Rangwala; George Karypis (EMNLP, 2023)

Global and Nodal Mutual Information Maximization in Heterogeneous Graphs. - Costas Mavromatis; George Karypis (ICASSP, 2023)

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Henghui Zhu; Rui Dong; Deguang Kong; Juliette Burger; Anjelica Ramos; Zhiheng Huang; William Yang Wang; George Karypis; Bing Xiang; et al. (ICLR, 2023)

Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. - Yulun Wu; Robert A. Barton; Zichen Wang 002; Vassilis N. Ioannidis; Carlo De Donno; Layne C. Price; Luis F. Voloch; George Karypis (ICLR, 2023)

Differentially Private Optimization on Large Model at Small Cost. - Zhiqi Bu; Yu-Xiang Wang 003; Sheng Zha; George Karypis (ICML, 2023)

XTab: Cross-table Pretraining for Tabular Transformers. - Bingzhao Zhu; Xingjian Shi; Nick Erickson; Mu Li 003; George Karypis; Mahsa Shoaran (ICML, 2023)

Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU. - Israt Nisa; Minjie Wang; Da Zheng; Qiang Fu; Ümit V. Çatalyürek; George Karypis (IPDPS Workshops, 2023)

International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models. - Yuan Ling; Fanyou Wu; Shujing Dong; Yarong Feng; George Karypis; Chandan K. Reddy (KDD, 2023)

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger. - Zhiqi Bu; Yu-Xiang Wang 003; Sheng Zha; George Karypis (NeurIPS, 2023)

HyTrel: Hypergraph-enhanced Tabular Data Representation Learning. - Pei Chen; Soumajyoti Sarkar; Leonard Lausen; Balasubramaniam Srinivasan; Sheng Zha; Ruihong Huang; George Karypis (NeurIPS, 2023)

Large Language Models of Code Fail at Completing Code with Potential Bugs. - Tuan Dinh; Jinman Zhao; Samson Tan; Renato Negrinho; Leonard Lausen; Sheng Zha; George Karypis (NeurIPS, 2023)

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. - Costas Mavromatis; Vassilis N. Ioannidis; Shen Wang 005; Da Zheng; Soji Adeshina; Jun Ma 029; Han Zhao 002; Christos Faloutsos; George Karypis (ECML/PKDD (3), 2023)

DSP: Efficient GNN Training with Multiple GPUs. - Zhenkun Cai; Qihui Zhou; Xiao Yan 002; Da Zheng; Xiang Song 003; Chenguang Zheng; James Cheng; George Karypis (PPoPP, 2023)

DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. - Hongkuan Zhou; Da Zheng; Xiang Song 003; George Karypis; Viktor K. Prasanna (SC, 2023)

The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). - Vachik S. Dave; Linsey Pang; Xiquan Cui; Lingfei Wu 001; Hamed Zamani; George Karypis (WWW (Companion Volume), 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. - Hengrui Zhang; Shen Wang 005; Vassilis N. Ioannidis; Soji Adeshina; Jiani Zhang 003; Xiao Qin 003; Christos Faloutsos; Da Zheng; George Karypis; Philip S. Yu (CoRR, 2023)

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Henry Zhu; Rui Dong; Deguang Kong; Juliette Burger; Anjelica Ramos; William Yang Wang; Zhiheng Huang; George Karypis; Bing Xiang; et al. (CoRR, 2023)

Coupling public and private gradient provably helps optimization. - Ruixuan Liu; Zhiqi Bu; Yu-Xiang Wang 003; Sheng Zha; George Karypis (CoRR, 2023)

Open Problems in (Hyper)Graph Decomposition. - Deepak Ajwani; Rob H. Bisseling; Katrin Casel; Ümit V. Çatalyürek; Cédric Chevalier; Florian Chudigiewitsch; Marcelo Fonseca Faraj; Michael R. Fellows; Lars Gottesbüren; Tobias Heuer; George Karypis; Kamer Kaya; et al. (CoRR, 2023)

On the accuracy and efficiency of group-wise clipping in differentially private optimization. - Zhiqi Bu; Ruixuan Liu; Yu-Xiang Wang 003; Sheng Zha; George Karypis (CoRR, 2023)

Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection. - Costas Mavromatis; Balasubramaniam Srinivasan; Zhengyuan Shen; Jiani Zhang 003; Huzefa Rangwala; Christos Faloutsos; George Karypis (CoRR, 2023)

Zero redundancy distributed learning with differential privacy. - Zhiqi Bu; Justin Chiu; Ruixuan Liu; Sheng Zha; George Karypis (CoRR, 2023)

Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). - George Karypis; Christian Schulz 003; Darren Strash; Deepak Ajwani; Rob H. Bisseling; Katrin Casel; Ümit V. Çatalyürek; Cédric Chevalier; Florian Chudigiewitsch; Marcelo Fonseca Faraj; Michael R. Fellows; Lars Gottesbüren; et al. (Dagstuhl Reports, 2023)

Kernelized Multitask Learning Method for Personalized Signaling Adverse Drug Reactions. - Fan Yang 068; Fuzhong Xue; Yanchun Zhang; George Karypis (IEEE Trans. Knowl. Data Eng., 2023)

Learning to Generate Answers with Citations via Factual Consistency Models. - Rami Aly; Zhiqiang Tang; Samson Tan; George Karypis (ACL (1), 2024)

Extreme Miscalibration and the Illusion of Adversarial Robustness. - Vyas Raina; Samson Tan; Volkan Cevher; Aditya Rawal; Sheng Zha; George Karypis (ACL (1), 2024)

AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. - Zhiqiang Tang; Haoyang Fang; Su Zhou; Taojiannan Yang; Zihan Zhong; Cuixiong Hu; Katrin Kirchhoff; George Karypis (AutoML, 2024)

3rd International Workshop on Industrial Recommendation Systems (IRS). - Luyi Ma; Xiaohan Li 001; Kamilia Ahmadi; Jianpeng Xu; Philip S. Yu; George Karypis (CIKM, 2024)

Revisit Orthogonality in Graph-Regularized MLPs. - Hengrui Zhang; Shen Wang 005; Vassilis N. Ioannidis; Soji Adeshina; Jiani Zhang 003; Xiao Qin 003; Christos Faloutsos; Da Zheng; George Karypis; Philip S. Yu (CIKM, 2024)

CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage. - Costas Mavromatis; Balasubramaniam Srinivasan; Zhengyuan Shen; Jiani Zhang 003; Huzefa Rangwala; Christos Faloutsos; George Karypis (EMNLP, 2024)

Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification. - Zeren Shui; Petros Karypis; Daniel S. Karls; Mingjian Wen; Saurav Manchanda; Ellad B. Tadmor; George Karypis (EMNLP (Findings), 2024)

Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning. - Soumajyoti Sarkar; Leonard Lausen; Volkan Cevher; Thomas Brox; Sheng Zha; George Karypis (ENLSP, 2024)

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. - Kezhi Kong; Jiani Zhang 003; Zhengyuan Shen; Balasubramaniam Srinivasan; Chuan Lei; Christos Faloutsos; Huzefa Rangwala; George Karypis (ICLR, 2024)

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. - Hengrui Zhang; Jiani Zhang 003; Zhengyuan Shen; Balasubramaniam Srinivasan; Xiao Qin 003; Christos Faloutsos; Huzefa Rangwala; George Karypis (ICLR, 2024)

Differentially Private Bias-Term Fine-tuning of Foundation Models. - Zhiqi Bu; Yu-Xiang Wang 003; Sheng Zha; George Karypis (ICML, 2024)

KDD workshop on Evaluation and Trustworthiness of Generative AI Models. - Yuan Ling; Shujing Dong; Yarong Feng; Zongyi Joe Liu; George Karypis; Chandan K. Reddy (KDD, 2024)

Inference Optimization of Foundation Models on AI Accelerators. - Youngsuk Park; Kailash Budhathoki; Liangfu Chen; Jonas M. Kübler; Jiaji Huang; Matthäus Kleindessner; Jun Huan; Volkan Cevher; Yida Wang 003; George Karypis (KDD, 2024)

First Workshop on Generative AI for Recommender Systems and Personalization. - Narges Tabari; Aniket Anand Deshmukh; Wang-Cheng Kang; Hamed Zamani; Rashmi Gangadharaiah; Julian J. McAuley; George Karypis (KDD, 2024)

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jian Zhang; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (KDD, 2024)

Extending Input Contexts of Language Models through Training on Segmented Sequences. - Petros Karypis; Julian J. McAuley; George Karypis (NAACL-HLT (Findings), 2024)

Pre-training Differentially Private Models with Limited Public Data. - Zhiqi Bu; Xinwei Zhang 001; Sheng Zha; Mingyi Hong 001; George Karypis (NeurIPS, 2024)

SemPool: Simple, Robust, and Interpretable KG Pooling for Enhancing Language Models. - Costas Mavromatis; Petros Karypis; George Karypis (PKDD (4), 2024)

The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). - Vachik S. Dave; Linsey Pang; Xiquan Cui; Chen Luo 003; Hamed Zamani; Lingfei Wu 001; George Karypis (WSDM, 2024)

OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories. - Christos Koutras; Jiani Zhang 003; Xiao Qin 003; Chuan Lei; Vasileios Ioannidis; Christos Faloutsos; George Karypis; Asterios Katsifodimos (CoRR, 2024)

Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization. - Costas Mavromatis; Petros Karypis; George Karypis (CoRR, 2024)

AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. - Zhiqiang Tang; Haoyang Fang; Su Zhou; Taojiannan Yang; Zihan Zhong; Tony Hu; Katrin Kirchhoff; George Karypis (CoRR, 2024)

Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. - Qi Zhu 008; Da Zheng; Xiang Song 003; Shichang Zhang; Bowen Jin; Yizhou Sun; George Karypis (CoRR, 2024)

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning. - Costas Mavromatis; George Karypis (CoRR, 2024)

GraphStorm: all-in-one graph machine learning framework for industry applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jiani Zhang 003; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (CoRR, 2024)

Hierarchical Compression of Text-Rich Graphs via Large Language Models. - Shichang Zhang; Da Zheng; Jiani Zhang 003; Qi Zhu 008; Xiang Song 003; Soji Adeshina; Christos Faloutsos; George Karypis; Yizhou Sun (CoRR, 2024)

Long-context Protein Language Model. - Yingheng Wang; Zichen Wang 002; Gil Sadeh; Luca Zancato; Alessandro Achille; George Karypis; Huzefa Rangwala (CoRR, 2024)

Multimodal Chain-of-Thought Reasoning in Language Models. - Zhuosheng Zhang 001; Aston Zhang; Mu Li 003; Hai Zhao 001; George Karypis; Alex Smola (Trans. Mach. Learn. Res., 2024)

TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. - Zonghan Wu; Da Zheng; Shirui Pan; Quan Gan; Guodong Long; George Karypis (IEEE Trans. Neural Networks Learn. Syst., 2024)

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. - Miguel Romero Calvo; Shuoyang Ding; Corey D. Barrett; Georgiana Dinu; George Karypis (ACL (Findings), 2025)

Understanding Silent Data Corruption in LLM Training. - Jeffrey Jian Ma; Hengzhi Pei; Leonard Lausen; George Karypis (ACL (1), 2025)

GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs. - Costas Mavromatis; George Karypis (ACL (Findings), 2025)

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. - Ke Yang 003; Yao Liu 009; Sapana Chaudhary; Rasool Fakoor; Pratik Chaudhari; George Karypis; Huzefa Rangwala (ICLR, 2025)

AutoG: Towards automatic graph construction from tabular data. - Zhikai Chen; Han Xie; Jian Zhang; Xiang Song 003; Jiliang Tang; Huzefa Rangwala; George Karypis (ICLR, 2025)

When Silicon Fails Silently: Characterizing Hardware-Induced Corruption in LLM Training. - Jeffrey Jian Ma; Hengzhi Pei; Leonard Lausen; George Karypis (IOLTS, 2025)

Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. - Zhepeng Cen; Yao Liu 009; Siliang Zeng; Pratik Chaudhari; Huzefa Rangwala; George Karypis; Rasool Fakoor (Trans. Mach. Learn. Res., 2025)

A Proximal Operator for Inducing 2:4-Sparsity. - Jonas M. Kübler; Yu-Xiang Wang 003; Shoham Sabach; Navid Ansari; Matthäus Kleindessner; Kailash Budhathoki; Volkan Cevher; George Karypis (Trans. Mach. Learn. Res., 2025)

LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers. - Yingheng Wang; Zichen Wang 002; Gil Sadeh; Luca Zancato; Alessandro Achille; George Karypis; Huzefa Rangwala (Trans. Mach. Learn. Res., 2025)

ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs. - Hongyi Liu; Rajarshi Saha; Zhen Jia; Youngsuk Park; Jiaji Huang; Shoham Sabach; Yu-Xiang Wang 003; George Karypis (CoRR, 2025)

CoddLLM: Empowering Large Language Models for Data Analytics. - Jiani Zhang 003; Hengrui Zhang; Rishav Chakravarti; Yiqun Hu; Patrick Ng; Asterios Katsifodimos; Huzefa Rangwala; George Karypis; Alon Y. Halevy (CoRR, 2025)

Open Materials Generation with Stochastic Interpolants. - Philipp Höllmer; Thomas Egg; Maya M. Martirossyan; Eric Fuemmeler; Amit Gupta; Zeren Shui; Pawan Prakash; Adrian Roitberg; Mingjie Liu; George Karypis; Mark K. Transtrum; Richard G. Hennig; et al. (CoRR, 2025)

From Demonstrations to Rewards: Alignment Without Explicit Human Preferences. - Siliang Zeng; Yao Liu 009; Huzefa Rangwala; George Karypis; Mingyi Hong 001; Rasool Fakoor (CoRR, 2025)

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. - Haoyang Fang; Boran Han; Nick Erickson; Xiyuan Zhang; Su Zhou; Anirudh Dagar; Jiani Zhang 003; Ali Caner Türkmen; Cuixiong Hu; Huzefa Rangwala; Ying Nian Wu; Yuyang Wang 001; et al. (CoRR, 2025)

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. - Miguel Romero 007; Shuoyang Ding; Corey D. Barret; Georgiana Dinu; George Karypis (CoRR, 2025)

Does Multimodality Lead to Better Time Series Forecasting? - Xiyuan Zhang; Boran Han; Haoyang Fang; Abdul Fatir Ansari; Shuai Zhang 007; Danielle C. Maddix; Cuixiong Hu; Andrew Gordon Wilson; Michael W. Mahoney; Hao Wang 014; Yan Liu; Huzefa Rangwala; et al. (CoRR, 2025)

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. - Costas Mavromatis; Soji Adeshina; Vassilis N. Ioannidis; Zhen Han; Qi Zhu 008; Ian Robinson; Bryan Thompson 001; Huzefa Rangwala; George Karypis (CoRR, 2025)