graph-cnn.pytorch
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meliketoy
Pytorch Implementation for Graph Convolutional Neural Networks
Excuse me. I tried the dataset, e.g., PubMed. from [data](https://github.com/kimiyoung/planetoid) ``` | # of nodes : 19717 | # of edges : 44325.5 | # of features : 500 |...
Small thing on line 75 in utils.py you should add the encoding type otherwise it will not work for python 3+. objects.append(pkl.load(f, encoding='latin1')) Thanks for sharing the implementation. Cheers.
What can I do to achieve graph classfication? I know it can be done to add pooling layer and softmax, and change loss function, etc. The question is, now the...
