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81
On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithm
Fanchen Bu, Kijung Shin
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2023, 2023
82
Robust Graph Clustering via Meta Weighting for Noisy Graphs
Hyeonsoo Jo, Fanchen Bu, Kijung Shin
ACM International Conference on Information and Knowledge Management 2023, 2023
83
Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition
Junmo Cho*, Seungjae Han*, Eun-Seo Cho, Kijung Shin, Young-Gyu Yoon
AAAI 2023: AAAI Conference on Artificial Intelligence 2023, 2023
84
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin
International Conference on Machine Learning 2023, 2023
85
You’re Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark
Soo Yong Lee*, Juwon Kim*, Kiwoong Park, Dongkuk Ryu, Sangheun Shim, Kijung Shin
ACM International Conference on Information and Knowledge Management 2023, 2023
86
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin
ICML 2024: International Conference on Machine Learning 2024, 2024
87
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
Dongyeong Hwang, Hyunju Kim, Sunwoo Kim, Kijung Shin
CVPR 2024: IEEE/CVF Computer Vision and Pattern Recognition Conference 2024, 2024
88
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin
ICLR 2024: International Conference on Learning Representations 2024, 2024
89
Self-Guided Robust Graph Structure Refinement
Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park
WWW 2024: The Web Conference 2024, 2024
90
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi
ICML 2024: International Conference on Machine Learning 2024, 2024
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