Fanchen Bu

According to our database, Fanchen Bu authored at least 22 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Survey on Hypergraph Mining: Patterns, Tools, and Generators.

Geon Lee, Fanchen Bu, Tina Eliassi-Rad, Kijung Shin

ACM Comput. Surv., August, 2025

PyTorch-based Geometric Learning with Non-CUDA Processing Units: Experiences from Intel Gaudi-v2 HPUs.

Fanchen Bu, Kijung Shin

CoRR, July, 2025

On Training-Test (Mis)alignment in Unsupervised Combinatorial Optimization: Observation, Empirical Exploration, and Analysis.

Fanchen Bu, Kijung Shin

CoRR, June, 2025

Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification.

Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin

CoRR, June, 2025

Estimating simplet counts via sampling.

Hyunju Kim, Heechan Moon, Fanchen Bu, Jihoon Ko, Kijung Shin

VLDB J., March, 2025

TiGer: Self-supervised Purification for Time-Evolving Graphs.

Hyeonsoo Jo, Jongha Lee, Fanchen Bu, Kijung Shin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation.

Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Exploring Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms.

Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More.

Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.

Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications.

Fanchen Bu, Geon Lee, Kijung Shin

Data Min. Knowl. Discov., November, 2023

Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm.

Fanchen Bu, Shinhwan Kang, Kijung Shin

Data Min. Knowl. Discov., November, 2023

Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes.

Hyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin

Proceedings of the ACM Web Conference 2023, 2023

How Transitive Are Real-World Group Interactions? - Measurement and Reproduction.

Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms.

Fanchen Bu, Kijung Shin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Deep Attention in Graph Neural Networks: Problems and Remedies.

Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin

Proceedings of the International Conference on Machine Learning, 2023

Robust Graph Clustering via Meta Weighting for Noisy Graphs.

Hyeonsoo Jo, Fanchen Bu, Kijung Shin

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs.

Fanchen Bu, Dong Eui Chang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Double Prioritized State Recycled Experience Replay.

Fanchen Bu, Dong Eui Chang

CoRR, 2020