발행물

전체 논문

107

51

SWeG: Lossless and Lossy Summarization of Web-Scale Graphs
Kijung Shin, Amol Ghoting, Myunghwan Kim, Hema Raghavan
The Web Conference 2019, 2019

52

Evolution of Real-world Hypergraphs: Patterns and Models without Oracles
Yunbum Kook, Jihoon Ko, Kijung Shin
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2020, 2020

53

How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
Se-eun Yoon, Hyungseok Song, Kijung Shin, Yung Yi
ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2020, 2020

54

Incremental Lossless Graph Summarization
Jihoon Ko*, Yunbum Kook*, Kijung Shin
ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2020, 2020

55

MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
AAAI Conference on Artificial Intelligence 2020, 2020

56

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks
Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park
ACM Transactions on Knowledge Discovery from Data, 2020

57

Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
Se-eun Yoon, Hyungseok Song, Kijung Shin, Yung Yi
The Web Conference 2020, 2020

58

SSumM: Sparse Summarization of Massive Graphs
Kyuhan Lee*, Hyeonsoo Jo*, Jihoon Ko, Sungsu Lim, Kijung Shin
ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2020, 2020

59

Structural Patterns and Generative Models of Real-world Hypergraphs
Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin
ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2020, 2020

60

TellTail: Fast Scoring and Detection of Dense Subgraphs
Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos
AAAI Conference on Artificial Intelligence 2020, 2020