발행물

전체 논문

107

71

MiDaS: Representative Sampling from Real-world Hypergraphs
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
The Web Conference 2022, 2022

72

On the Persistence of Higher-Order Interactions in Real-World Hypergraphs
Hyunjin Choo, Kijung Shin
SIAM International Conference on Data Mining 2022, 2022

73

Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications
Shinhwan Kang, Kyuhan Lee, Kijung Shin
IEEE International Conference on Data Engineering 2022, 2022

74

SLUGGER: Lossless Hierarchical Summarization of Massive Graphs
Kyuhan Lee*, Jihoon Ko*, Kijung Shin
IEEE International Conference on Data Engineering 2022, 2022

75

Set2Box: Similarity Preserving Representation Learning for Sets
Geon Lee, Chanyoung Park, Kijung Shin
ICDM 2022: IEEE International Conference on Data Mining 2022, 2022

76

Classification of Edge-dependent Labels of Nodes in Hypergraphs
Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2023, 2023

77

Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding
Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
The Web Conference 2023, 2023

78

How Transitive Are Real-World Group Interactions? - Measurement and Reproduction
Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2023, 2023

79

I'm Me, We're Us, and I'm Us: Tridirectional Contrastive Learning on Hypergraphs
Dongjin Lee, Kijung Shin
The Web Conference 2023, 2023

80

NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors
Taehyung Kwon*, Jihoon Ko*, Jinhong Jung, Kijung Shin
The Web Conference 2023, 2023