AI RESEARCH
A Temporally Augmented Graph Attention Network for Affordance Classification
arXiv CS.AI
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ArXi:2604.10149v1 Announce Type: cross Graph attention networks (GATs) provide one of the best frameworks for learning node representations in relational data; but, existing variants such as Graph Attention Network (GAT) mainly operate on static graphs and rely on implicit temporal aggregation when applied to sequential data. In this paper, we