Graph Convolution Network! Do you know about it?
Published in
5 min readJan 27, 2023
Graph Convolutional Networks (GCNs) are a type of Spectral GNNs that extend the concept of convolutional neural networks (CNNs) to graph-structured data.
The basic building block of a GCN is the graph convolutional layer, which is designed to aggregate information from the neighboring nodes of a graph. The graph convolutional layer is defined as: