f6532b3c4c329e6d5d5fb846acc441df47616c4c,examples/gnn_explainer.py,,,#,30

Before Change

optimizer = torch.optim.Adam(model.parameters(), lr=0.01, weight_decay=5e-4)
x, edge_index = data.x, data.edge_index

for epoch in range(1, 201):
    model.train()
    optimizer.zero_grad()
    log_logits = model(x, edge_index)
    loss = F.nll_loss(log_logits[data.train_mask], data.y[data.train_mask])
    print(loss)
    loss.backward()
    optimizer.step()

explainer = GNNExplainer(model, epochs=200)
node_feat_mask, edge_masks = explainer.explain_node(10, x, edge_index)
explainer.visualize_subgraph(10, edge_index)

After Change

explainer = GNNExplainer(model, epochs=200)
t = time.perf_counter()
node_feat_mask, edge_mask = explainer.explain_node(10, x, edge_index)
print(time.perf_counter() - t)
// for edge_mask in edge_masks:
//     mask = edge_mask > 0
//     print(edge_mask[mask])
// explainer.visualize_subgraph(10, edge_index, edge_masks)

Instances