Hybrid High-order in Graph Attention Layer
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High-order graph attention network
AbstractGCN is a widely-used representation learning method for capturing hidden features in graph data. However, traditional GCNs suffer from the over-smoothing problem, hindering their ability to extract high-order information and obtain ...
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Highlights- Propose a high-order graph attention model to alleviate the over-smoothing problem.
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- Queensland University of Technology
- City University of Hong Kong: City University of Hong Kong
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Association for Computing Machinery
New York, NY, United States
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