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Fanchen Bu
Fanchen Bu
kaist.ac.kr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
SY Lee, F Bu, J Yoo, K Shin
ICML 2023 (arXiv 2306.02376), 2023
122023
Double Prioritized State Recycled Experience Replay
F Bu, DE Chang
ICCE-Asia 2020 (arXiv 2007.03961), 2020
82020
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction
S Kim, F Bu, M Choe, J Yoo, K Shin
KDD 2023 (arXiv 2306.02358), 2023
7*2023
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs
F Bu, DE Chang
AAAI 2022 (arXiv 2205.08385), 2022
72022
Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications
F Bu, G Lee, K Shin
Data Mining and Knowledge Discovery (2023) 37, 2389–2437 (arXiv 2301.08440), 2023
62023
A Survey on Hypergraph Mining: Patterns, Tools, and Generators
G Lee, F Bu, T Eliassi-Rad, K Shin
arXiv 2401.08878, 2024
42024
Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes
H Kim, J Ko, F Bu, K Shin
WWW 2023 (arXiv 2302.05505), 2023
42023
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
S Kim, S Kang, F Bu, SY Lee, J Yoo, K Shin
ICLR 2024 (arXiv 2404.00638), 2024
22024
Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm
F Bu, S Kang, K Shin
Data Mining and Knowledge Discovery (2023) 37, 2139–2191 (arXiv 2305.09083), 2023
12023
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
SY Lee, S Kim, F Bu, J Yoo, J Tang, K Shin
arXiv 2402.04621, 2024
2024
Robust Graph Clustering via Meta Weighting for Noisy Graphs
H Jo, F Bu, K Shin
CIKM 2023 (arXiv 2311.00322), 2023
2023
On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms
F Bu, K Shin
KDD 2023 (arXiv 2306.06368), 2023
2023
A Novel Optimization Algorithm with Orthogonality for Deep Neural Networks Inspired by Feedback Integrators
F Bu
KAIST Master's Thesis, 2021
2021
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