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cs.LG2026
Modality as Heterogeneity: Node Splitting and Graph Rewiring for Multimodal Graph Learning
Yihan Zhang, Ercan E. Kuruoglu
Multimodal graphs are gaining increasing attention due to their rich representational power and wide applicability, yet they introduce substantial challenges arising from severe mo…
cs.LG2025
DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
Zhibang Yang, Xinke Jiang, Rihong Qiu +8
Federated Retrieval (FR) routes queries across multiple external knowledge sources, to mitigate hallucinations of LLMs, when necessary external knowledge is distributed. However, e…