ac932c665b0a06ea9e222136351f52b5d6772ed0,examples/pytorch/jtnn/jtnn/mpn.py,DGLMPN,forward,#DGLMPN#Any#,128
Before Change
mol_graph = self.run(mol_graph, mol_line_graph)
mol_graph_list = unbatch(mol_graph)
g_repr = torch.stack([g.get_n_repr()["h"].mean(0) for g in mol_graph_list], 0)
self.n_samples_total += n_samples
self.n_nodes_total += n_nodes
self.n_edges_total += n_edges
After Change
mol_line_graph = mol_graph.line_graph(backtracking=False, shared=True)
n_nodes = mol_graph.number_of_nodes()
n_edges = mol_graph.number_of_edges()
mol_graph = self.run(mol_graph, mol_line_graph)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: dmlc/dgl
Commit Name: ac932c665b0a06ea9e222136351f52b5d6772ed0
Time: 2018-12-02
Author: coin2028@hotmail.com
File Name: examples/pytorch/jtnn/jtnn/mpn.py
Class Name: DGLMPN
Method Name: forward
Project Name: dmlc/dgl
Commit Name: ac932c665b0a06ea9e222136351f52b5d6772ed0
Time: 2018-12-02
Author: coin2028@hotmail.com
File Name: examples/pytorch/jtnn/jtnn/jtnn_vae.py
Class Name: DGLJTNNVAE
Method Name: encode
Project Name: rusty1s/pytorch_geometric
Commit Name: b2002a8ef80ecbecee09fd61b910c987648455c7
Time: 2020-08-26
Author: matthias.fey@tu-dortmund.de
File Name: torch_geometric/datasets/karate.py
Class Name: KarateClub
Method Name: __init__