Author

Guo-Cong Quan

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#machine learning Preprint Aug 2026

Towards Adaptive Federated Graph Clustering: A Global Community-aware Contrastive Learning-based Approach

AdaFGC is proposed, an Adaptive Federated graph clustering framework based on Global community-aware Contrastive learning that introduces an over-complete set of global community anchors to model the global community structure and adaptively estimate clustering cardinality via cross-client anchor refinement.

Yin-Lin Zhu, Di Wu, Wang Luo et al. · 0 citations

Preprint Aug 2026

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity

Federated multimodal graph learning with Topology-aware Cross-modal Routing (FedTCR) is proposed, the first systematic algorithm designed for FMGL and outperforms state-of-the-art baselines on both graph-centric and modality-centric tasks.

Yin-Lin Zhu, Di Wu, Yi Zhang et al. · 1 citation