Introduces hGAO and cGAO operators for graph representation learning that outperform standard graph attention operators in accuracy while reducing computational requirements.
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cs.LG 1years
2019 1verdicts
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Graph Representation Learning via Hard and Channel-Wise Attention Networks
Introduces hGAO and cGAO operators for graph representation learning that outperform standard graph attention operators in accuracy while reducing computational requirements.