arXiv (Cornell University)· 2017· Preprint
Graph Attention Networks
- 8,365citations
- 2017year
Short summary
Graph Attention Networks (GATs) introduce a novel neural network architecture for graph-structured data that uses masked self-attentional layers to assign different importance weights to neighboring nodes, overcoming limitations of graph convolutions without requiring costly matrix operations or prior knowledge of the graph structure.
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Artificial IntelligenceComputer Science