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We propose a new network architecture, Gated Attention Networks (GaAN), for learning on graphs.
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Deep learning
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
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FastGCN: Fast learning with graph convolutional networks via importance sampling
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A structured self-attentive sentence embedding
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Inductive representation learning on large graphs
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Representation learning on graphs: Methods and applications
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Empirical evaluation of rectified activations in convolutional network
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Graph attention networks
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