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Graph neural network (GNN) can be formulated as the multiplication of the topology-related matrix (adjacency or Laplacian matrix) and node attribute matrix, i.e., operation in node-wise. Unfortunately ...
This repository contains a PyTorch implementation of 'Graph Reciprocal Neural Networks by Abstracting Node as Attribute' - jayeew/GRN ...