Corpus ID: 53550706

Relational Graph Attention Networks

@article{Busbridge2019RelationalGA,
  title={Relational Graph Attention Networks},
  author={Dan Busbridge and Dane Sherburn and Pietro Cavallo and N. Hammerla},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.05811}
}
We investigate Relational Graph Attention Networks, a class of models that extends non-relational graph attention mechanisms to incorporate relational information, opening up these methods to a wider variety of problems. A thorough evaluation of these models is performed, and comparisons are made against established benchmarks. To provide a meaningful comparison, we retrain Relational Graph Convolutional Networks, the spectral counterpart of Relational Graph Attention Networks, and evaluate… Expand
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