U Kang

Woojeong Jin

Knowl. Inf. Syst., 2020

Signed Graph Diffusion Network.

[BibT_eX]

[DOI]

CoRR, 2020

T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion.

[BibT_eX]

[DOI]

Jaehun Jung

CoRR, 2020

Time-Aware Tensor Decomposition for Missing Entry Prediction.

[BibT_eX]

[DOI]

Dawon Ahn

CoRR, 2020

Pea-KD: Parameter-efficient and Accurate Knowledge Distillation.

[BibT_eX]

[DOI]

Ikhyun Cho

CoRR, 2020

AUBER: Automated BERT Regularization.

[BibT_eX]

[DOI]

Hyun Dong Lee

Seongmin Lee

CoRR, 2020

Ensemble Multi-Source Domain Adaptation with Pseudolabels.

[BibT_eX]

[DOI]

Seongmin Lee

CoRR, 2020

Fast Partial Fourier Transform.

[BibT_eX]

[DOI]

Yong-chan Park

CoRR, 2020

Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference.

[BibT_eX]

[DOI]

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

Accurate News Recommendation Coalescing Personal and Global Temporal Preferences.

[BibT_eX]

[DOI]

Bonhun Koo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks.

[BibT_eX]

[DOI]

Ha-Myung Park

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Gtensor: Fast and Accurate Tensor Analysis System using GPUs.

[BibT_eX]

[DOI]

Dawon Ahn

Sangjun Son

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Fast and scalable method for distributed Boolean tensor factorization.

[BibT_eX]

[DOI]

Namyong Park

Sejoon Oh

VLDB J., 2019

High-Performance Tucker Factorization on Heterogeneous Platforms.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2019

FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2019

How to Pick the Best Source Data? Measuring Transferability for Heterogeneous Domains.

[BibT_eX]

[DOI]

CoRR, 2019

FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN.

[BibT_eX]

[DOI]

CoRR, 2019

PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Knowledge Extraction with No Observable Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Belief Propagation Network for Hard Inductive Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Data Context Adaptation for Accurate Recommendation with Additional Information.

[BibT_eX]

[DOI]

Bonhun Koo

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Enumerating Trillion Subgraphs On Distributed Systems.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

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

[BibT_eX]

[DOI]

Minsoo Jung

ACM Trans. Knowl. Discov. Data, 2018

Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2018

TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition.

[BibT_eX]

[DOI]

CoRR, 2018

Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees.

[BibT_eX]

[DOI]

Minji Yoon

Woojeong Jin

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

SIDE: Representation Learning in Signed Directed Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs.

[BibT_eX]

[DOI]

Saehan Jo

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.

[BibT_eX]

[DOI]

Minji Yoon

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

PegasusN: A Scalable and Versatile Graph Mining System.

[BibT_eX]

[DOI]

Ha-Myung Park

Chiwan Park

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

MTP: discovering high quality partitions in real world graphs.

[BibT_eX]

[DOI]

World Wide Web, 2017

Fully Scalable Methods for Distributed Tensor Factorization.

[BibT_eX]

[DOI]

Kijung Shin

Lee Sael

IEEE Trans. Knowl. Data Eng., 2017

Time-weighted counting for recently frequent pattern mining in data streams.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

UniWalk: Explainable and Accurate Recommendation for Rating and Network Data.

[BibT_eX]

[DOI]

CoRR, 2017

Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks.

[BibT_eX]

[DOI]

Woojeong Jin

CoRR, 2017

PMV: Pre-partitioned Generalized Matrix-Vector Multiplication for Scalable Graph Mining.

[BibT_eX]

[DOI]

CoRR, 2017

Fast, Accurate, and Scalable Method for Sparse Coupled Matrix-Tensor Factorization.

[BibT_eX]

[DOI]

Dongjin Choi

CoRR, 2017

TPA: Two Phase Approximation for Random Walk with Restart.

[BibT_eX]

[DOI]

Minji Yoon

CoRR, 2017

BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks.

[BibT_eX]

[DOI]

Saehan Jo

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Fast and Scalable Distributed Boolean Tensor Factorization.

[BibT_eX]

[DOI]

Namyong Park

Sejoon Oh

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

A New Question Answering Approach with Conceptual Graphs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Haekyu Park

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Mining billion-scale tensors: algorithms and discoveries.

[BibT_eX]

[DOI]

Lee Sael

José Fernando Rodrigues Jr.

VLDB J., 2016

Random Walk with Restart on Large Graphs Using Block Elimination.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2016

FURL: Fixed-memory and Uncertainty Reducing Local Triangle Counting for Graph Streams.

[BibT_eX]

[DOI]

CoRR, 2016

M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model.

[BibT_eX]

[DOI]

Hugo Gualdron

Robson L. F. Cordeiro

Minsuk Kahng

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

PTE: Enumerating Trillion Triangles On Distributed Systems.

[BibT_eX]

[DOI]

Ha-Myung Park

Sung-Hyon Myaeng

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Partition Aware Connected Component Computation in Distributed Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Personalized Ranking in Signed Networks Using Signed Random Walk with Restart.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

BIGtensor: Mining Billion-Scale Tensor Made Easy.

[BibT_eX]

[DOI]

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

PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information.

[BibT_eX]

[DOI]

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

2015

Summarizing and understanding large graphs.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2015

Fast graph mining with HBase.

[BibT_eX]

[DOI]

Ho Lee

Bin Shao

Inf. Sci., 2015

Reverse nearest neighbor search with a non-spatial aspect.

[BibT_eX]

[DOI]

Jeong-Hoon Park

Chin-Wan Chung

José Fernando Rodrigues Jr.

Inf. Syst., 2015

M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model.

[BibT_eX]

[DOI]

Hugo Gualdron

Robson L. F. Cordeiro

Minsuk Kahng

CoRR, 2015

Scalable Tensor Mining.

[BibT_eX]

[DOI]

Lee Sael

Big Data Res., 2015

BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

TeGViz: Distributed Tera-Scale Graph Generation and Visualization.

[BibT_eX]

[DOI]

Byungsoo Jeon

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

HaTen2: Billion-scale tensor decompositions.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Discovering large subsets with high quality partitions in real world graphs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

2014

SlashBurn: Graph Compression and Mining beyond Caveman Communities.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

HEigen: Spectral Analysis for Billion-Scale Graphs.

[BibT_eX]

[DOI]

Brendan Meeder

IEEE Trans. Knowl. Data Eng., 2014

Link prediction based on generalized cluster information.

[BibT_eX]

[DOI]

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

Big graph mining for the web and social media: algorithms, anomaly detection, and applications.

[BibT_eX]

[DOI]

Leman Akoglu

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

VOG: Summarizing and Understanding Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Net-Ray: Visualizing and Mining Billion-Scale Graphs.

[BibT_eX]

[DOI]

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

Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization.

[BibT_eX]

[DOI]

Kijung Shin

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Eventera: Real-Time Event Recommendation System from Massive Heterogeneous Online Media.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

MapReduce Triangle Enumeration With Guarantees.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jihoon Choi

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhiyuan Lin

Minsuk Kahng

Kaeser Md. Sabrin

Ho Lee

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Mining Tera-Scale Graphs with "Pegasus": Algorithms and Discoveries.

[BibT_eX]

[DOI]

Proceedings of the Large-Scale Data Analytics, 2014

2013

Fast and scalable approximate spectral graph matching for correspondence problems.

[BibT_eX]

[DOI]

Martial Hebert

Soonyong Park

Inf. Sci., 2013

Large Scale Tensor Decompositions: Algorithmic Developments and Applications.

[BibT_eX]

[DOI]

Nicholas D. Sidiropoulos

Abhay Harpale

IEEE Data Eng. Bull., 2013

Fast anomaly detection despite the duplicates.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

Demonstrating Interactive Multi-resolution Large Graph Exploration.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Leveraging memory mapping for fast and scalable graph computation on a PC.

[BibT_eX]

[DOI]

Zhiyuan Lin

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Big Data Clustering.

[BibT_eX]

Hanghang Tong

Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012

Mining Tera-Scale Graphs: Theory, Engineering and Discoveries.

[BibT_eX]

[DOI]

PhD thesis, 2012

gbase: an efficient analysis platform for large graphs.

[BibT_eX]

[DOI]

VLDB J., 2012

Big graph mining: algorithms and discoveries.

[BibT_eX]

[DOI]

SIGKDD Explor., 2012

Managing and mining large graphs: patterns and algorithms.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

OPAvion: mining and visualization in large graphs.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Fast Random Walk Graph Kernel.

[BibT_eX]

[DOI]

Hanghang Tong

Jimeng Sun

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries.

[BibT_eX]

[DOI]

Abhay Harpale

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Pegasus: Mining billion-scale graphs in the cloud.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

HADI: Mining Radii of Large Graphs.

[BibT_eX]

[DOI]

Ana Paula Appel

Jure Leskovec

ACM Trans. Knowl. Discov. Data, 2011

PEGASUS: mining peta-scale graphs.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2011

Centralities in Large Networks: Algorithms and Observations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms.

[BibT_eX]

[DOI]

Hsing-Kuo Kenneth Pao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation.

[BibT_eX]

[DOI]

Brendan Meeder

Robson Leonardo Ferreira Cordeiro

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

GBASE: a scalable and general graph management system.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Clustering very large multi-dimensional datasets with MapReduce.

[BibT_eX]

[DOI]

Caetano Traina Jr.

Agma Juci Machado Traina

Julio López

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.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Mining large graphs: Algorithms, inference, and discoveries.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Data Engineering, 2011

2010

Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations.

[BibT_eX]

[DOI]

Ana Paula Appel

Jure Leskovec

Proceedings of the SIAM International Conference on Data Mining, 2010

Patterns on the Connected Components of Terabyte-Scale Graphs.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

2009

DOULION: counting triangles in massive graphs with a coin.

[BibT_eX]

[DOI]

Gary L. Miller

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.

[BibT_eX]

[DOI]