Efficient Message Passing Algorithm and Architecture Co-Design for Graph Neural Networks

Graph neural networks (GNNs) are a promising method for learning graph representations and demonstrate remarkable performance on various graph-related tasks. Existing typical GNNs exploit the neighborhood message passing scheme that subtly aggregates feature messages from neighbor nodes to update th...

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