https://distill.pub/2021/understanding-gnns/
Understanding Convolutions on Graphs
Understanding the building blocks and design choices of graph neural networks.
Ameya Daigavane
Balaraman Ravindran
Gaurav Aggarwal
Google Research
Sept. 2, 2021
10.23915/distill.00032
“Graph neural networks (GNNs) are a family of neural networks that can operate naturally on graph-structured data. By extracting and utilizing features from the underlying graph, GNNs can make more informed predictions about entities in these interactions, as compared to models that consider individual entities in isolation.”