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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| SSumM: Sparse Summarization of Massive Graphs Lee, Kyuhan; Jo, Hyeonsoo; Ko, Jihoon; Lim, Sungsu; Shin, Kijung, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, Association for Computing Machinery, 2020-08-24 | |
| Structural Patterns and Generative Models of Real-world Hypergraphs Do, Manh Tuan; Yoon, Se-eun; Hooi, Bryan; Shin, Kijung, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, Association for Computing Machinery, 2020-08-24 | |
| How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction Yoon, Se-eun; Song, Hyungseok; Shin, Kijung; Yi, Yung, The Web Conference 2020, WWW 2020, pp.2627 - 2633, Association for Computing Machinery, 2020-04-20 | |
| Evolution of Real-world Hypergraphs: Patterns and Models without Oracles Kook, Yunbum; Ko, Jihoon; Shin, Kijung, ICDM 2020: 20th IEEE International Conference on Data Mining, pp.272 - 281, IEEE Computer Society, 2020-11-19 | |
| TellTail: Fast Scoring and Detection of Dense Subgraphs Hooi, Bryan; Shin, Kijung; Lamba, Hemank; Faloutsos, Christos, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.4150 - 4157, Association for the Advancement of Artificial Intelligence, 2020-02-10 | |
| MIDAS: MIcrocluster-based Detector of Anomalies in Edge Streams Bhatia, Siddharth; Hooi, Bryan; Yoon, Minji; Shin, Kijung; Faloutsos, Christos, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.3243 - 3250, Association for the Advancement of Artificial Intelligence, 2020-02-10 | |
| MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks Ko, Jihoon; Lee, Kyuhan; Shin, Kijung; Park, Noseong, 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp.204 - 211, IEEE Computer Society, 2020-12-09 |
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