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5 lines
487 B
Markdown
5 lines
487 B
Markdown
# GATs
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* Graph Attention Networks(GATs) leverage masked self-attentional layers on graph-structured data. The nodes in stacked layers have different weights and they are able to attend over their
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neighborhoods’ features, without requiring any kind of costly matrix operation (such as inversion) or depending on knowing the graph structure upfront.
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* This code used in Qlib is implemented with PyTorch by ourselves.
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* Paper: Graph Attention Networks https://arxiv.org/pdf/1710.10903.pdf |