Ryan A. Rossi

Proceedings of the Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

CyCLIP: Cyclic Contrastive Language-Image Pretraining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Point Process for Learning Spatiotemporal Event Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Task-Oriented Near-Lossless Burst Compression.

[BibT_eX]

[DOI]

Weixin Jiang

Gang Wu

Viswanathan Swaminathan

Proceedings of the IEEE International Symposium on Multimedia, 2022

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Network Report: A Structured Description for Network Datasets.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Implicit Session Contexts for Next-Item Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoForecast: Automatic Time-Series Forecasting Model Selection.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Cicero: A Declarative Grammar for Responsive Visualization.

[BibT_eX]

[DOI]

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Clustering-based Unsupervised Generative Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Heterogeneous Graphlets.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Online Sampling of Temporal Networks.

[BibT_eX]

[DOI]

Nick Duffield

ACM Trans. Knowl. Discov. Data, 2021

Dynamic Node Embeddings From Edge Streams.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes.

[BibT_eX]

[DOI]

CoRR, 2021

An Interpretable Graph Generative Model with Heterophily.

[BibT_eX]

[DOI]

CoRR, 2021

Optimal Space and Time for Streaming Pattern Matching.

[BibT_eX]

[DOI]

CoRR, 2021

Insight-centric Visualization Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Generating Accurate Caption Units for Figure Captioning.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Provable Distributed Stochastic Gradient Descent with Delayed Updates.

[BibT_eX]

[DOI]

Hongchang Gao

Gang Wu

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Automatic Unsupervised Outlier Model Selection.

[BibT_eX]

[DOI]

Yue Zhao

Leman Akoglu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Edge: Enriching Knowledge Graph Embeddings with External Text.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

EXACTA: Explainable Column Annotation.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Recommend Visualizations from Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Interactive Audience Expansion On Large Scale Online Visitor Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Open-Domain Trending Hashtag Recommendation for Videos.

[BibT_eX]

[DOI]

Viswanathan Swaminathan

Proceedings of the IEEE International Symposium on Multimedia, 2021

Asymptotics of Ridge Regression in Convolutional Models.

[BibT_eX]

[DOI]

Mojtaba Sahraee-Ardakan

Proceedings of the 38th International Conference on Machine Learning, 2021

Fundamental Tradeoffs in Distributionally Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Machine Unlearning via Algorithmic Stability.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2021

From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Influence-guided Data Augmentation for Neural Tensor Completion.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Framework for Knowledge-Derived Query Suggestions.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Context Integrated Relational Spatio-Temporal Resource Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Learning Contextualized Knowledge Structures for Commonsense Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Graph Neural Networks with Heterophily.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Inductive Graph Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Correction to: Complex networks are structurally distinguishable by domain.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2020

Ensemble Learning for Relational Data.

[BibT_eX]

[DOI]

Hoda Eldardiry

J. Mach. Learn. Res., 2020

Learning Contextualized Knowledge Structures for Commonsense Reasoning.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Deep Factors for Forecasting.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction.

[BibT_eX]

[DOI]

CoRR, 2020

A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting.

[BibT_eX]

[DOI]

CoRR, 2020

ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data.

[BibT_eX]

[DOI]

CoRR, 2020

Automating Outlier Detection via Meta-Learning.

[BibT_eX]

[DOI]

Yue Zhao

Leman Akoglu

CoRR, 2020

From Static to Dynamic Node Embeddings.

[BibT_eX]

[DOI]

CoRR, 2020

Inferring Individual Level Causal Models from Graph-based Relational Time Series.

[BibT_eX]

[DOI]

Somdeb Sarkhel

Mohammad Taghi Hajiaghayi

CoRR, 2020

Fast and Accurate Estimation of Typed Graphlets.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

From Closing Triangles to Closing Higher-Order Motifs.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Fast Hierarchical Graph Clustering in Linear-Time.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Real-Time Clustering for Large Sparse Online Visitor Data.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Structural Graph Representation Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Figure Captioning with Relation Maps for Reasoning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Approximate Maximum Matching in Random Streams.

[BibT_eX]

[DOI]

Alireza Farhadi

Tung Mai

Anup Rao

Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Higher-order Clustering in Complex Heterogeneous Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Structured Policy Iteration for Linear Quadratic Regulator.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Estimation of Graphlet Counts in Massive Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Attention Models in Graphs: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Complex networks are structurally distinguishable by domain.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2019

Temporal Network Sampling.

[BibT_eX]

[DOI]

Nick Duffield

CoRR, 2019

From Community to Role-based Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2019

Linear-time Hierarchical Community Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs.

[BibT_eX]

[DOI]

CoRR, 2019

Figure Captioning with Reasoning and Sequence-Level Training.

[BibT_eX]

[DOI]

CoRR, 2019

Temporal Network Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Heterogeneous Network Motifs.

[BibT_eX]

[DOI]

CoRR, 2019

Secure Two-Party Feature Selection.

[BibT_eX]

[DOI]

CoRR, 2019

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

On Densification for Minwise Hashing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Latent Network Summarization: Bridging Network Embedding and Summarization.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Neural caption generation over figures.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Linear Quadratic Regulator for Resource-Efficient Cloud Services.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Graph Convolutional Networks with Motif-based Attention.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Interactive Visual Graph Mining and Learning.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

Relational time series forecasting.

[BibT_eX]

[DOI]

Knowl. Eng. Rev., 2018

GraphZIP: a clique-based sparse graph compression method.

[BibT_eX]

[DOI]

J. Big Data, 2018

Bridging Network Embedding and Graph Summarization.

[BibT_eX]

[DOI]

CoRR, 2018

Higher-order Spectral Clustering for Heterogeneous Graphs.

[BibT_eX]

[DOI]

CoRR, 2018

Higher-order Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Role-based Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2018

HONE: Higher-Order Network Embeddings.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Inductive Network Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Higher-order Network Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Continuous-Time Dynamic Network Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Graph Classification using Structural Attention.

[BibT_eX]

[DOI]

John Boaz Lee

Xiangnan Kong

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Similarity-based Multi-label Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Interactive Higher-Order Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

On Sampling from Massive Graph Streams.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

Graphlet decomposition: framework, algorithms, and applications.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Representation Learning in Large Attributed Graphs.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Graph Attention Model.

[BibT_eX]

[DOI]

John Boaz Lee

Xiangnan Kong

CoRR, 2017

A Framework for Generalizing Graph-based Representation Learning Methods.

[BibT_eX]

[DOI]

CoRR, 2017

Network Classification and Categorization.

[BibT_eX]

[DOI]

James P. Canning

Emma E. Ingram

Sammantha Nowak-Wolff

Adriana M. Ortiz

Karl Robert Bruce Schmitt

Sucheta Soundarajan

CoRR, 2017

Deep Feature Learning for Graphs.

[BibT_eX]

[DOI]

CoRR, 2017

Estimation of Graphlet Statistics.

[BibT_eX]

[DOI]

CoRR, 2017

Edge Role Discovery via Higher-Order Structures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

A Higher-Order Latent Space Network Model.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Parallel collective factorization for modeling large heterogeneous networks.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2016

Relational Similarity Machines.

[BibT_eX]

[DOI]

CoRR, 2016

Hybrid CPU-GPU Framework for Network Motifs.

[BibT_eX]

[DOI]

CoRR, 2016

Revisiting Role Discovery in Networks: From Node to Edge Roles.

[BibT_eX]

[DOI]

CoRR, 2016

Exact and Estimation of Local Edge-centric Graphlet Counts.

[BibT_eX]

[DOI]

Theodore L. Willke

Proceedings of the 5th International Workshop on Big Data, 2016

Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Estimation of local subgraph counts.

[BibT_eX]

[DOI]

Theodore L. Willke

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Toward Interactive Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Role Discovery in Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

An Interactive Data Repository with Visual Analytics.

[BibT_eX]

[DOI]

SIGKDD Explor., 2015

Parallel Maximum Clique Algorithms with Applications to Network Analysis.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2015

A Web-based Interactive Visual Graph Analytics Platform.

[BibT_eX]

[DOI]

CoRR, 2015

Fast Parallel Graphlet Counting for Large Networks.

[BibT_eX]

[DOI]

CoRR, 2015

Interactive Visual Graph Analytics on the Web.

[BibT_eX]

[DOI]

Nesreen Kamel Ahmed

Ryan Anthony Rossi

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Efficient Graphlet Counting for Large Networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Scalable relational learning for large heterogeneous networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

The Network Data Repository with Interactive Graph Analytics and Visualization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Coloring large complex networks.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2014

A Dynamical System for PageRank with Time-Dependent Teleportation.

[BibT_eX]

[DOI]

Internet Math., 2014

NetworkRepository: A Graph Data Repository with Visual Interactive Analytics.

[BibT_eX]

[DOI]

CoRR, 2014

Fast maximum clique algorithms for large graphs.

[BibT_eX]

[DOI]

Md. Mostofa Ali Patwary

Proceedings of the 23rd International World Wide Web Conference, 2014

Fast Triangle Core Decomposition for Mining Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013

A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components

[BibT_eX]

[DOI]

Md. Mostofa Ali Patwary

CoRR, 2013

Modeling dynamic behavior in large evolving graphs.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

A multi-level approach for evaluating internet topology generators.

[BibT_eX]

[DOI]

Sonia Fahmy

Nilothpal Talukder

Proceedings of the IFIP Networking Conference, 2013, Brooklyn, 2013

2012

Transforming Graph Data for Statistical Relational Learning.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2012

What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks

[BibT_eX]

[DOI]

Md. Mostofa Ali Patwary

CoRR, 2012

Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks

[BibT_eX]

[DOI]

CoRR, 2012

Transforming Graph Representations for Statistical Relational Learning

[BibT_eX]

[DOI]

CoRR, 2012

Role-dynamics: fast mining of large dynamic networks.

[BibT_eX]

[DOI]

Proceedings of the 21st World Wide Web Conference, 2012

Dynamic PageRank Using Evolving Teleportation.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Models for the Web Graph - 9th International Workshop, 2012

Time-Evolving Relational Classification and Ensemble Methods.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011

Representations and Ensemble Methods for Dynamic Relational Classification

[BibT_eX]

[DOI]

CoRR, 2011

2010

Modeling the evolution of discussion topics and communication to improve relational classification.

[BibT_eX]

[DOI]

Proceedings of the First Workshop on Social Media Analytics, 2010

Polyphony: A Workflow Orchestration Framework for Cloud Computing.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009

Automatically identifying relations in privacy policies.

[BibT_eX]

[DOI]

John W. Stamey

Proceedings of the 27th Annual International Conference on Design of Communication, 2009

2008

Signature based intrusion detection using latent semantic analysis.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

Ranking Links on the Web: Search and Surf Engines.

[BibT_eX]

[DOI]

Jean-Louis Lassez

Kumar Jeev

Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

2007

Client-side dynamic metadata in web 2.0.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual International Conference on Design of Communication, 2007

Crick's Hypothesis Revisited: The Existence of a Universal Coding Frame.

[BibT_eX]

[DOI]

Jean-Louis Lassez