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@@ -135,7 +135,10 @@ def negative_sample_adj_mat(adj_mat: torch.Tensor) -> torch.Tensor: |
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print('neg_neighbors:', neg_neighbors)
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print('neg_neighbors:', neg_neighbors)
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edges_neg = torch.cat([ edges_pos[:, 0].view(-1, 1),
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pos_vertices = torch.repeat_interleave(torch.arange(len(adj_mat)),
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row_count)
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edges_neg = torch.cat([ pos_vertices.view(-1, 1),
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neg_neighbors.view(-1, 1) ], 1)
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neg_neighbors.view(-1, 1) ], 1)
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adj_mat_neg = torch.sparse_coo_tensor(indices = edges_neg.transpose(0, 1),
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adj_mat_neg = torch.sparse_coo_tensor(indices = edges_neg.transpose(0, 1),
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