NN4G
Neural network for graphs
NN4G is based on a constructive feedforward architecture with state variables that uses neurons with no feedback connections. The neurons are applied to the input graphs by a general traversal process that relaxes the constraints of previous approaches derived by the causality assumption over hierarchical input data.

Description from: [Neural network for graphs: a contextual constructive approach](https://www.meta.org/papers/neural-network-for-graphs-a-contextual/19193509)