tf-gnn-samples/models
Marc Brockschmidt 519c0519c8 feat(RGIN): Simplify model code slightly (mathematically equal) 2019-10-25 12:08:02 +00:00
..
__init__.py feat(RGIN): Add relational generalisation of GIN 2019-10-16 11:00:48 +00:00
ggnn_model.py feat(*): Support GNN-Edge-MLP0/MLP1 model names 2019-10-08 17:49:47 +00:00
gnn_edge_mlp_model.py chore(*): Use single MLP implementation everywhere 2019-10-16 13:48:01 +00:00
gnn_film_model.py feat(*): Support GNN-Edge-MLP0/MLP1 model names 2019-10-08 17:49:47 +00:00
rgat_model.py feat(*): Support GNN-Edge-MLP0/MLP1 model names 2019-10-08 17:49:47 +00:00
rgcn_model.py feat(*): Support GNN-Edge-MLP0/MLP1 model names 2019-10-08 17:49:47 +00:00
rgdcn_model.py feat(*): Support GNN-Edge-MLP0/MLP1 model names 2019-10-08 17:49:47 +00:00
rgin_model.py feat(RGIN): Simplify model code slightly (mathematically equal) 2019-10-25 12:08:02 +00:00
sparse_graph_model.py fix(Model): Fix case of task.initial_node_feature_size == hidden_size 2019-10-08 17:49:47 +00:00