Accordingly, one very popular GNN architecture is the graph convolutional neural network (GCN), which uses convolution layers to create graph embeddings. Applications of graph neural networks.

The paper, "Relational inductive biases, deep learning, and graph networks," posted on the arXiv pre-print service, is authored by Peter W. Battaglia of Google's DeepMind unit, along with ...