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View Code? Open in Web Editor NEWThe implementations of Graph Convolutional Neural Network models
License: MIT License
The implementations of Graph Convolutional Neural Network models
License: MIT License
Traceback (most recent call last):
File "D:/z_study/code/gcnns-master/main.py", line 21, in
trainer.run()
File "D:\z_study\code\gcnns-master\train.py", line 136, in run
evals = self.evaluate()
File "D:\z_study\code\gcnns-master\train.py", line 112, in evaluate
acc = pred.eq(data.labels[mask]).sum().item() / mask.sum().item()
RuntimeError: "sum_cpu" not implemented for 'Bool'
Process finished with exit code 1
When I run the code, I get the above error.
Excuse me, is the adjacency matrix A used instead of the weight matrix W in masked_gcn? In addition, is the update rule of attribute h in your code different from that in the paper?
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