Bu, Fanchen

8 publications

AAAI 2025 DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin

ICML 2025 Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin

ICML 2024 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

ICLR 2024 HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin

NeurIPS 2024 Rethinking Reconstruction-Based Graph-Level Anomaly Detection: Limitations and a Simple Remedy Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin

ICML 2024 Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin

ICML 2023 Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin

AAAI 2022 Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs Fanchen Bu, Dong Eui Chang