RMask uses random walks and a distance-based mask to extract exact-hop graph information, improving the accuracy and speed of model-simplification GNNs.
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Towards Scalable and Deep Graph Neural Networks via Noise Masking
RMask uses random walks and a distance-based mask to extract exact-hop graph information, improving the accuracy and speed of model-simplification GNNs.