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 ...