Covariant Compositional Networks For Learning Graphs

2 code implementations • ICLR 2018 • Risi Kondor, Hy Truong Son, Horace Pan, Brandon Anderson, Shubhendu Trivedi

Most existing neural networks for learning graphs address permutation invariance by conceiving of the network as a message passing scheme, where each node sums the feature vectors coming from its neighbors.

Graph Learning