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Gnnexplainer graph-explanation fix. #2615

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May 21, 2021
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Gnnexplainer graph-explanation fix. #2615

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cdef568
calling visualize in test
wsad1 May 21, 2021
ca7b282
viusalize_subgraph fix for graph explanation
wsad1 May 21, 2021
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2 changes: 2 additions & 0 deletions test/nn/models/test_gnn_explainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -98,6 +98,8 @@ def test_graph_explainer(model):

node_feat_mask, edge_mask = explainer.explain_graph(x, edge_index)
assert_edgemask_clear(model)
_, _ = explainer.visualize_subgraph(-1, edge_index, edge_mask,
y=torch.tensor(2), threshold=0.8)
assert node_feat_mask.size() == (x.size(1), )
assert node_feat_mask.min() >= 0 and node_feat_mask.max() <= 1
assert edge_mask.shape[0] == edge_index.shape[1]
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10 changes: 6 additions & 4 deletions torch_geometric/nn/models/gnn_explainer.py
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Expand Up @@ -276,7 +276,8 @@ def visualize_subgraph(self, node_idx, edge_index, edge_mask, y=None,
edge_index (LongTensor): The edge indices.
edge_mask (Tensor): The edge mask.
y (Tensor, optional): The ground-truth node-prediction labels used
as node colorings. (default: :obj:`None`)
as node colorings. All nodes will have the same color
if :attr:`node_idx` is :obj:`-1`.(default: :obj:`None`).
threshold (float, optional): Sets a threshold for visualizing
important edges. If set to :obj:`None`, will visualize all
edges with transparancy indicating the importance of edges.
Expand All @@ -292,9 +293,10 @@ def visualize_subgraph(self, node_idx, edge_index, edge_mask, y=None,
if node_idx == -1:
hard_edge_mask = torch.BoolTensor([True] * edge_index.size(1),
device=edge_mask.device)
subset = torch.arange(
edge_index.max() + 1,
device=edge_index.device if y is None else y.device)
subset = torch.arange(edge_index.max().item() + 1,
device=edge_index.device)
y = None

else:
# Only operate on a k-hop subgraph around `node_idx`.
subset, edge_index, _, hard_edge_mask = k_hop_subgraph(
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