Kijung Shin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

AHP: Learning to Negative Sample for Hyperedge Prediction.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On the Persistence of Higher-Order Interactions in Real-World Hypergraphs.

[BibT_eX]

[DOI]

Hyunjin Choo

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Are Edge Weights in Summary Graphs Useful? - A Comparative Study.

[BibT_eX]

[DOI]

Shinhwan Kang

Kyuhan Lee

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams.

[BibT_eX]

[DOI]

Minyoung Choe

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Set2Box: Similarity Preserving Representation Learning for Sets.

[BibT_eX]

[DOI]

Chanyoung Park

Proceedings of the IEEE International Conference on Data Mining, 2022

Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

SLUGGER: Lossless Hierarchical Summarization of Massive Graphs.

[BibT_eX]

[DOI]

Kyuhan Lee

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications.

[BibT_eX]

[DOI]

Shinhwan Kang

Kyuhan Lee

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Mining of Real-world Hypergraphs: Patterns, Tools, and Generators.

[BibT_eX]

[DOI]

Jaemin Yoo

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

MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation.

[BibT_eX]

[DOI]

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

Meta-Learning for Online Update of Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Learning to Pool in Graph Neural Networks for Extrapolation.

[BibT_eX]

[DOI]

CoRR, 2021

How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators.

[BibT_eX]

[DOI]

Minyoung Choe

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

DPGS: Degree-Preserving Graph Summarization.

[BibT_eX]

[DOI]

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

Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers.

[BibT_eX]

[DOI]

Dongjin Lee

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

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

2020

Temporal locality-aware sampling for accurate triangle counting in real graph streams.

[BibT_eX]

[DOI]

Dongjin Lee

VLDB J., 2020

Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Hypergraph Motifs: Concepts, Algorithms, and Discoveries.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Fast and memory-efficient algorithms for high-order Tucker decomposition.

[BibT_eX]

[DOI]

Jiyuan Zhang

Jinoh Oh

Evangelos E. Papalexakis

Hwanjo Yu

Knowl. Inf. Syst., 2020

Summarizing graphs using the configuration model.

[BibT_eX]

[DOI]

CoRR, 2020

Real-Time Streaming Anomaly Detection in Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks.

[BibT_eX]

[DOI]

CoRR, 2020

How Much and When Do We Need Higher-order Informationin Hypergraphs? A Case Study on Hyperedge Prediction.

[BibT_eX]

[DOI]

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

SSumM: Sparse Summarization of Massive Graphs.

[BibT_eX]

[DOI]

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

Incremental Lossless Graph Summarization.

[BibT_eX]

[DOI]

Yunbum Kook

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

Structural Patterns and Generative Models of Real-world Hypergraphs.

[BibT_eX]

[DOI]

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

Evolution of Real-world Hypergraphs: Patterns and Models without Oracles.

[BibT_eX]

[DOI]

Yunbum Kook

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

TellTail: Fast Scoring and Detection of Dense Subgraphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Midas: Microcluster-Based Detector of Anomalies in Edge Streams.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

SWeG: Lossless and Lossy Summarization of Web-Scale Graphs.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

SMF: Drift-Aware Matrix Factorization with Seasonal Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach.

[BibT_eX]

[DOI]

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

2018

Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining.

[BibT_eX]

[DOI]

Bryan Hooi

ACM Trans. Knowl. Discov. Data, 2018

Patterns and anomalies in k-cores of real-world graphs with applications.

[BibT_eX]

[DOI]

Tina Eliassi-Rad

Knowl. Inf. Syst., 2018

DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams.

[BibT_eX]

[DOI]

CoRR, 2018

Out-of-Core and Distributed Algorithms for Dense Subtensor Mining.

[BibT_eX]

[DOI]

CoRR, 2018

Discovering Progression Stages in Trillion-Scale Behavior Logs.

[BibT_eX]

[DOI]

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

Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

ONE-M: Modeling the Co-evolution of Opinions and Network Connections.

[BibT_eX]

[DOI]

Boleslaw K. Szymanski

Nitesh V. Chawla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Fully Scalable Methods for Distributed Tensor Factorization.

[BibT_eX]

[DOI]

Lee Sael

U Kang

IEEE Trans. Knowl. Data Eng., 2017

Graph-Based Fraud Detection in the Face of Camouflage.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2017

D-Cube: Dense-Block Detection in Terabyte-Scale Tensors.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

S-HOT: Scalable High-Order Tucker Decomposition.

[BibT_eX]

[DOI]

Jinoh Oh

Evangelos E. Papalexakis

Hwanjo Yu

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

zooRank: Ranking Suspicious Entities in Time-Evolving Tensors.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Why You Should Charge Your Friends for Borrowing Your Stuff.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams.

[BibT_eX]

[DOI]

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

2016

Random Walk with Restart on Large Graphs Using Block Elimination.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2016

Incorporating Side Information in Tensor Completion.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on World Wide Web, 2016

M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees.

[BibT_eX]

[DOI]

Bryan Hooi

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

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage.

[BibT_eX]

[DOI]

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

CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms.

[BibT_eX]

[DOI]

Tina Eliassi-Rad

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

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

2014

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

[BibT_eX]

[DOI]