| 2025 | AAAI | DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation. | Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin |
| 2025 | ICDM | Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity. | Fanchen Bu, Geon Lee, Kijung Shin, Minyoung Choe |
| 2025 | ICDM | Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms. | Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin |
| 2025 | ICDM | HyperSearch: Prediction of New Hyperedges Through Unconstrained yet Efficient Search. | Hyunjin Choo, Fanchen Bu, Hyunjin Hwang, Young-Gyu Yoon, Kijung Shin |
| 2025 | ICML | Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification. | Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin |
| 2025 | KDD | RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. | Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, Andr Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park |
| 2025 | KDD | On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. | Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin |
| 2025 | PAKDD | TiGer: Self-supervised Purification for Time-Evolving Graphs. | Hyeonsoo Jo, Jongha Lee, Fanchen Bu, Kijung Shin |
| 2024 | ICLR | HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs. | Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin |
| 2024 | ICML | Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More. | Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin |
| 2024 | ICML | 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 |
| 2023 | CIKM | Robust Graph Clustering via Meta Weighting for Noisy Graphs. | Hyeonsoo Jo, Fanchen Bu, Kijung Shin |
| 2023 | ICML | Towards Deep Attention in Graph Neural Networks: Problems and Remedies. | Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin |
| 2023 | KDD | On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms. | Fanchen Bu, Kijung Shin |
| 2023 | KDD | How Transitive Are Real-World Group Interactions? - Measurement and Reproduction. | Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin |
| 2023 | WWW | Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes. | Hyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin |
| 2022 | AAAI | Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs. | Fanchen Bu, Dong Eui Chang |