Self-supervised edge features for improved Graph Neural Network training

23 Jun 2020Arijit SehanobishNeal G. RavindraDavid van Dijk

Graph Neural Networks (GNN) have been extensively used to extract meaningful representations from graph structured data and to perform predictive tasks such as node classification and link prediction. In recent years, there has been a lot of work incorporating edge features along with node features for prediction tasks... (read more)

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