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View Code? Open in Web Editor NEWAdaptive Propagation Graph Convolutional Network
Home Page: http://ispac.diet.uniroma1.it/
License: MIT License
Adaptive Propagation Graph Convolutional Network
Home Page: http://ispac.diet.uniroma1.it/
License: MIT License
The l2_reg is computed through parameters in the model itself, then why not use optimizer = Adam(model.parameters(),lr=lr, weight_decay=weight_decay) in pytorch?
Hi @spindro,
Can you provide some help in using this APGCN model for MovieLens-1M dataset?
My dataset is composed of 4 .dat files
But your data seems to be in .npz format.
Some resources on how to adjust this model for Movielens-1M dataset will be greatly appreciated
Thanks
Link of dataset for reference
Hi, thanks for sharing the code!
When running the codes, an error appeared: AttributeError: type object 'GCNConv' has no attribute 'norm'
It was from the line drop_edge_index, drop_norm = GCNConv.norm(drop_edge_index,sz)
I looked through the pytorch-geometric documentation and there seems to be no "norm()" function for GCNConv. I was wondering what might be the problem? Is there anyway else to implement this step?
Many thanks for your time!
I note that the CORA-ML differs in feature and node number with cora dataset used by other papers
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