22e98420bbd9c5a082c894d2df02ae0dbd41846d,torch_geometric/nn/models/autoencoder.py,GAE,eval,#GAE#Any#Any#Any#,79

Before Change

        pos_y = adj.new_ones(edge_index.size(1))
        neg_y = adj.new_zeros(neg_edge_index.size(1))

        adj = torch.sigmoid(adj.detach())
        pos_pred = adj[edge_index[0], edge_index[1]]
        neg_pred = adj[neg_edge_index[0], neg_edge_index[1]]

        y = torch.cat([pos_y, neg_y], dim=0).cpu()
        pred = torch.cat([pos_pred, neg_pred], dim=0).cpu()

        roc_score = roc_auc_score(y, pred)
        ap_score = average_precision_score(y, pred)

        return roc_score, ap_score

After Change

        neg_y = z.new_zeros(neg_edge_index.size(1))
        y = torch.cat([pos_y, neg_y], dim=0)

        pos_pred = self.decode_for_indices(z, pos_edge_index, sigmoid=True)
        neg_pred = self.decode_for_indices(z, neg_edge_index, sigmoid=True)
        pred = torch.cat([pos_pred, neg_pred], dim=0)

        y, pred = y.detach().cpu().numpy(), pred.detach().cpu().numpy()

        return roc_auc_score(y, pred), average_precision_score(y, pred)

Instances