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What is a graph neural network (GNN)? How is a GNN different from a NN? How exactly is a GNN related to graphs? What are the components of a GNN? What are the inputs and outputs of GNNs?

How can GNNs be trained? Can we also use gradient descent with back-propagation to train GNNs?

If someone is interested in answering to this question, have a look at this article A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage) and the research article A New Model for Learning in Graph Domains (which the paper that introduced GNN).

– nbro – 2019-03-14T10:34:49.513