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2020 – today
- 2024
[c7]Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin:
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs. ICLR 2024- [c6]Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin:
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More. ICML 2024 - [c5]Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin:
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. ICML 2024 - [c4]Sunwoo Kim
, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin:
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. KDD 2024: 6534-6544 - [c3]Geon Lee, Soo Yong Lee, Kijung Shin:
VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation. WWW 2024: 594-605 - [i5]Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin:
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. CoRR abs/2402.04621 (2024) - [i4]Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin:
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs. CoRR abs/2404.00638 (2024) - [i3]Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin:
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. CoRR abs/2404.01039 (2024) - [i2]Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin:
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More. CoRR abs/2405.08424 (2024) - 2023
- [c2]Soo Yong Lee, Juwon Kim, Kiwoong Park, Dong Kuk Ryu, Sang Heun Shim, Kijung Shin:
You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark. CIKM 2023: 4033-4037 - [c1]Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin:
Towards Deep Attention in Graph Neural Networks: Problems and Remedies. ICML 2023: 18774-18795 - [i1]Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin:
Towards Deep Attention in Graph Neural Networks: Problems and Remedies. CoRR abs/2306.02376 (2023)
Coauthor Index
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last updated on 2024-10-01 20:45 CEST by the dblp team
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