THE GRAPH NETWORKS ZOO

requirement:

python3, tensorflow==1.10.0

some understanding of the model:

GNN: is that you use a RNN to memory every possible step of your input node, the target node is the answer.

GCN: you can see the pic folder.

experiment results:

task/model	1-step-gnn	2-step-gnn
babi-4	100%	100%
babi-15	0%	100%

reference:

GATED GRAPH SEQUENCE NEURAL NETWORKS

Semi-Supervised Classification with Graph Convolutional Networks