Machine Learning, Graph Convolution, Surveys, Deep Learn.
from the non-Euclidean domain. For example, in chemistry, molecules are modeled as graphs and their bioactivity need to be identified for drug discovery. The survey generalize the term “Graph Neural Networks” to represent all deep learning approaches for graph data. Types of Graph Neural Network