U. Kang

According to our database1, U. Kang authored at least 79 papers between 2009 and 2019.

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Bibliography

2019
FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams.
Data Min. Knowl. Discov., 2019

PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks.
BMC Bioinformatics, 2019

Belief Propagation Network for Hard Inductive Semi-Supervised Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Enumerating Trillion Subgraphs On Distributed Systems.
TKDD, 2018

Memory-Efficient and Accurate Sampling for Counting Local Triangles in Graph Streams: From Simple to Multigraphs.
TKDD, 2018

Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets.
Int. J. Approx. Reasoning, 2018

Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

SIDE: Representation Learning in Signed Directed Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

PegasusN: A Scalable and Versatile Graph Mining System.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
MTP: discovering high quality partitions in real world graphs.
World Wide Web, 2017

Fully Scalable Methods for Distributed Tensor Factorization.
IEEE Trans. Knowl. Data Eng., 2017

Time-weighted counting for recently frequent pattern mining in data streams.
Knowl. Inf. Syst., 2017

BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Fast and Scalable Distributed Boolean Tensor Factorization.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

A New Question Answering Approach with Conceptual Graphs.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2017

A comparative study of matrix factorization and random walk with restart in recommender systems.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

2016
Mining billion-scale tensors: algorithms and discoveries.
VLDB J., 2016

Random Walk with Restart on Large Graphs Using Block Elimination.
ACM Trans. Database Syst., 2016

M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

PTE: Enumerating Trillion Triangles On Distributed Systems.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Partition Aware Connected Component Computation in Distributed Systems.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Personalized Ranking in Signed Networks Using Signed Random Walk with Restart.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

BIGtensor: Mining Billion-Scale Tensor Made Easy.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Summarizing and understanding large graphs.
Statistical Analysis and Data Mining, 2015

Fast graph mining with HBase.
Inf. Sci., 2015

Reverse nearest neighbor search with a non-spatial aspect.
Inf. Syst., 2015

Scalable Tensor Mining.
Big Data Research, 2015

BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

TeGViz: Distributed Tera-Scale Graph Generation and Visualization.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

HaTen2: Billion-scale tensor decompositions.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Discovering large subsets with high quality partitions in real world graphs.
Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

An extension of the automatic cross-association method with a 3-dimensional matrix.
Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

2014
SlashBurn: Graph Compression and Mining beyond Caveman Communities.
IEEE Trans. Knowl. Data Eng., 2014

HEigen: Spectral Analysis for Billion-Scale Graphs.
IEEE Trans. Knowl. Data Eng., 2014

Link prediction based on generalized cluster information.
Proceedings of the 23rd International World Wide Web Conference, 2014

Big graph mining for the web and social media: algorithms, anomaly detection, and applications.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

VOG: Summarizing and Understanding Large Graphs.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Net-Ray: Visualizing and Mining Billion-Scale Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Eventera: Real-Time Event Recommendation System from Massive Heterogeneous Online Media.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

MapReduce Triangle Enumeration With Guarantees.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

MMap: Fast billion-scale graph computation on a PC via memory mapping.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Mining Tera-Scale Graphs with "Pegasus": Algorithms and Discoveries.
Proceedings of the Large-Scale Data Analytics, 2014

2013
Fast and scalable approximate spectral graph matching for correspondence problems.
Inf. Sci., 2013

Large Scale Tensor Decompositions: Algorithmic Developments and Applications.
IEEE Data Eng. Bull., 2013

Fast anomaly detection despite the duplicates.
Proceedings of the 22nd International World Wide Web Conference, 2013

Demonstrating Interactive Multi-resolution Large Graph Exploration.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Leveraging memory mapping for fast and scalable graph computation on a PC.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

Big Data Clustering.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
gbase: an efficient analysis platform for large graphs.
VLDB J., 2012

Big graph mining: algorithms and discoveries.
SIGKDD Explorations, 2012

Managing and mining large graphs: patterns and algorithms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

OPAvion: mining and visualization in large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Fast Random Walk Graph Kernel.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Pegasus: Mining billion-scale graphs in the cloud.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
HADI: Mining Radii of Large Graphs.
TKDD, 2011

PEGASUS: mining peta-scale graphs.
Knowl. Inf. Syst., 2011

Centralities in Large Networks: Algorithms and Observations.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

GBASE: a scalable and general graph management system.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Clustering very large multi-dimensional datasets with MapReduce.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Mining large graphs: Algorithms, inference, and discoveries.
Proceedings of the 27th International Conference on Data Engineering, 2011

2010
Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations.
Proceedings of the SIAM International Conference on Data Mining, 2010

Patterns on the Connected Components of Terabyte-Scale Graphs.
Proceedings of the ICDM 2010, 2010

2009
DOULION: counting triangles in massive graphs with a coin.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

PEGASUS: A Peta-Scale Graph Mining System.
Proceedings of the ICDM 2009, 2009


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