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GT-A^(2)T:Graph Tensor Alliance Attention Network
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作者 Ling Wang Kechen Liu Ye Yuan 《IEEE/CAA Journal of Automatica Sinica》 2025年第10期2165-2167,共3页
Dear Editor,This letter proposes the graph tensor alliance attention network(GT-A^(2)T)to represent a dynamic graph(DG)precisely.Its main idea includes 1)Establishing a unified spatio-temporal message propagation fram... Dear Editor,This letter proposes the graph tensor alliance attention network(GT-A^(2)T)to represent a dynamic graph(DG)precisely.Its main idea includes 1)Establishing a unified spatio-temporal message propagation framework on a DG via the tensor product for capturing the complex cohesive spatio-temporal interdependencies precisely and 2)Acquiring the alliance attention scores by node features and favorable high-order structural correlations. 展开更多
关键词 spatio temporal message propagation alliance attention scores high order structural correlations graph tensor alliance attention network gt t node features graph tensor dynamic graph alliance attention
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