Reciprocity in directed hypergraphs: measures, findings, and generators S Kim, M Choe, J Yoo, K Shin Data Mining and Knowledge Discovery 37 (6), 2330-2388, 2023 | 10 | 2023 |
Prototype-based explanations for graph neural networks (Student Abstract) YM Shin, SW Kim, EB Yoon, WY Shin Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13047 …, 2022 | 7 | 2022 |
Classification of edge-dependent labels of nodes in hypergraphs M Choe, S Kim, J Yoo, K Shin Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
Datasets, tasks, and training methods for large-scale hypergraph learning S Kim, D Lee, Y Kim, J Park, T Hwang, K Shin Data Mining and Knowledge Discovery 37 (6), 2216-2254, 2023 | 2 | 2023 |
How Transitive Are Real-World Group Interactions?-Measurement and Reproduction S Kim, F Bu, M Choe, J Yoo, K Shin Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 2023 |
Four-set Hypergraphlets for Characterization of Directed Hypergraphs H Moon, H Kim, S Kim, K Shin arXiv preprint arXiv:2311.14289, 2023 | 1 | 2023 |
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs S Kim, S Kang, F Bu, SY Lee, J Yoo, K Shin The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks YM Shin, SW Kim, WY Shin arXiv preprint arXiv:2210.17159, 2022 | 1 | 2022 |
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning J Lee, S Kim, K Shin arXiv preprint arXiv:2402.11933, 2024 | | 2024 |
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective SY Lee, S Kim, F Bu, J Yoo, J Tang, K Shin arXiv preprint arXiv:2402.04621, 2024 | | 2024 |