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Gaussian Relational Graph Transformer

GelGT introduces a structure-semantic collaborative sampling strategy to preserve structural connectivity while filtering irrelevant semantic information, and incorporates a Gaussian graph attention mechanism with a learnable Gaussian bias on the sampled subgraphs to dynamically encode temporal dependencies.

Zezhong Ding, Jin Li, Xugang Wang et al. · 0 citations

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