Fanchen Bu

46 papers A* 14A 1Journal 28Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical Insights.
CoRR
Jaewan Chun, Fanchen Bu, Yeongho Kim, Atsushi Miyauchi, Francesco Bonchi, Kijung Shin
2025 J jnl
A Survey on Hypergraph Mining: Patterns, Tools, and Generators.
ACM Comput. Surv.
Geon Lee, Fanchen Bu, Tina Eliassi-Rad, Kijung Shin
2025 A* conf
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation.
AAAI
Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin
2025 J jnl
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation.
CoRR
Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin
2025 A* conf
Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms.
ICDM
Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin
2025 J jnl
Estimating simplet counts via sampling.
VLDB J.
Hyunju Kim, Heechan Moon, Fanchen Bu, Jihoon Ko, Kijung Shin
2025 A* conf
HyperSearch: Prediction of New Hyperedges Through Unconstrained yet Efficient Search.
ICDM
Hyunjin Choo, Fanchen Bu, Hyunjin Hwang, Young-Gyu Yoon, Kijung Shin
2025 J jnl
HyperSearch: Prediction of New Hyperedges through Unconstrained yet Efficient Search.
CoRR
Hyunjin Choo, Fanchen Bu, Hyunjin Hwang, Young-Gyu Yoon, Kijung Shin
2025 A* conf
Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity.
ICDM
Fanchen Bu, Geon Lee, Kijung Shin, Minyoung Choe
2025 J jnl
Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity.
CoRR
Fanchen Bu, Geon Lee, Minyoung Choe, Kijung Shin
2025 A* conf
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification.
ICML
Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin
2025 J jnl
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification.
CoRR
Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin
2025 — conf
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications.
KDD (1)
Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin
2025 J jnl
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications.
CoRR
Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin
2025 J jnl
On Training-Test (Mis)alignment in Unsupervised Combinatorial Optimization: Observation, Empirical Exploration, and Analysis.
CoRR
Fanchen Bu, Kijung Shin
2025 J jnl
PyTorch-based Geometric Learning with Non-CUDA Processing Units: Experiences from Intel Gaudi-v2 HPUs.
CoRR
Fanchen Bu, Kijung Shin
2025 — conf
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.
KDD (2)
Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André 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 J jnl
TiGer: Self-Supervised Purification for Time-evolving Graphs.
CoRR
Hyeonsoo Jo, Jongha Lee, Fanchen Bu, Kijung Shin
2025 — conf
TiGer: Self-supervised Purification for Time-Evolving Graphs.
PAKDD (2)
Hyeonsoo Jo, Jongha Lee, Fanchen Bu, Kijung Shin
2024 J jnl
A Survey on Hypergraph Mining: Patterns, Tools, and Generators.
CoRR
Geon Lee, Fanchen Bu, Tina Eliassi-Rad, Kijung Shin
2024 J jnl
Exploring Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms.
CoRR
Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin
2024 A* conf
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective.
ICML
Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin
2024 J jnl
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective.
CoRR
Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin
2024 A* conf
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.
ICLR
Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin
2024 J jnl
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.
CoRR
Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin
2024 A* conf
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy.
NeurIPS
Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin
2024 J jnl
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy.
CoRR
Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin
2024 A* conf
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More.
ICML
Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin
2024 J jnl
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More.
CoRR
Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin
2023 A* conf
Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes.
WWW
Hyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin
2023 J jnl
Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes.
CoRR
Hyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin
2023 A* conf
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction.
KDD
Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin
2023 J jnl
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction.
CoRR
Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin
2023 J jnl
Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications.
CoRR
Fanchen Bu, Geon Lee, Kijung Shin
2023 J jnl
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications.
Data Min. Knowl. Discov.
Fanchen Bu, Geon Lee, Kijung Shin
2023 J jnl
Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm.
CoRR
Fanchen Bu, Shinhwan Kang, Kijung Shin
2023 J jnl
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm.
Data Min. Knowl. Discov.
Fanchen Bu, Shinhwan Kang, Kijung Shin
2023 A* conf
On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms.
KDD
Fanchen Bu, Kijung Shin
2023 J jnl
On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms.
CoRR
Fanchen Bu, Kijung Shin
2023 A conf
Robust Graph Clustering via Meta Weighting for Noisy Graphs.
CIKM
Hyeonsoo Jo, Fanchen Bu, Kijung Shin
2023 J jnl
Robust Graph Clustering via Meta Weighting for Noisy Graphs.
CoRR
Hyeonsoo Jo, Fanchen Bu, Kijung Shin
2023 A* conf
Towards Deep Attention in Graph Neural Networks: Problems and Remedies.
ICML
Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin
2023 J jnl
Towards Deep Attention in Graph Neural Networks: Problems and Remedies.
CoRR
Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin
2022 A* conf
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs.
AAAI
Fanchen Bu, Dong Eui Chang
2022 J jnl
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs.
CoRR
Fanchen Bu, Dong Eui Chang
2020 J jnl
Double Prioritized State Recycled Experience Replay.
CoRR
Fanchen Bu, Dong Eui Chang