Fanchen Bu

Orcid: 0000-0003-0497-3902

According to our database1, Fanchen Bu authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy.
CoRR, 2024

Exploring Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms.
CoRR, 2024

A Survey on Hypergraph Mining: Patterns, Tools, and Generators.
CoRR, 2024

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications.
Data Min. Knowl. Discov., November, 2023

Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm.
Data Min. Knowl. Discov., November, 2023

Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes.
Proceedings of the ACM Web Conference 2023, 2023

How Transitive Are Real-World Group Interactions? - Measurement and Reproduction.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Deep Attention in Graph Neural Networks: Problems and Remedies.
Proceedings of the International Conference on Machine Learning, 2023

Robust Graph Clustering via Meta Weighting for Noisy Graphs.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
Double Prioritized State Recycled Experience Replay.
CoRR, 2020


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