Hello what is a good way to visualize a pyg HeteroData object ? (defined similarly: https://pytorch-geometric.readthedocs.io/en/latest/notes/heterogeneous.html#creating-heterogeneous-gnns ) I tried...

How can I convert my own dataset to be usable by pytorch geometric for a graph neural network? All the tutorials use existing dataset already converted to be usable by pytorch. For example if I hav...

I have two tensors: # losses_q tensor(0.0870, device='cuda:0', grad_fn=<SumBackward0>) # this_loss_q tensor([0.0874], device='cuda:0', grad_fn=<AddBackward0>) When I am trying to conca...

I want to handle weighted undirected graphs in Pytorch Geometric. The node features are 50 dimensional. I found that this can be handled by the x attribute of the torch_geometric.data.data class. T...

I was working on a PyTorch Geometric project using Google Colab for CUDA support. Since it's library isn't present by default, I run: !pip install --upgrade torch-scatter !pip install --upgrade to...

Goal: I am trying to import a graph FROM networkx into PyTorch geometric and set labels and node features. (This is in Python) Question(s): How do I do this [the conversion from networkx to PyTorc...

I am trying to find the explanation for negative and positive edges in a graph as explained in the opening of the function train_test_split_edges Pytorch Geometric doc. According to the doc file it...