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cs.LG2026
Structural Entropy-Driven Graph Diffusion Generation for One-Shot Federated Graph Learning
Shutong Zheng, Lele Fu, Sheng Huang +2
One-shot federated graph learning (FGL) requires the server to estimate client contributions from highly compressed information, yet conventional volume-based weighting captures th…
cs.LG2024
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
Bowen Deng, Tong Wang, Lele Fu +3
Graph node clustering is a fundamental unsupervised task. Existing methods typically train an encoder through selfsupervised learning and then apply K-means to the encoder output.…