Exploiting Edge Features in Graph Neural Networks

7 Sep 2018 Liyu Gong Qiang Cheng

Edge features contain important information about graphs. However, current state-of-the-art neural network models designed for graph learning, e.g. graph convolutional networks (GCN) and graph attention networks (GAT), adequately utilize edge features, especially multi-dimensional edge features... (read more)

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