Creating Dataloader for Custom Dataset | Pytorch Geometric

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In this video I show a simple method for creating dataloader for custom graph data in pytorch geometric!

ig: @abhirajkanse
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You have given an answer, and at same time you haven’t. Can you update the collab with some cells with 3/nodes, their node attr, edge attr and then form Data(). Will be real help for newbie. Thanks.

NasimMahmud
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HI, thanks for the video. I have my dataset of 3D point clouds but in txt files. Total there are 95 files . its a lot of point cloud files. please let me know, how i can make it possible for pytorch geometric i.e making nodes and its features.... etc...

comp-it
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HI Abhiraj,
I got an error that hope you could help me.
I am doing the graph classification with PyG.
The edge_index shows something wrong:
1. How can I make sure that the edge_index point the the valid node indices?
2. There are some negative indices in the edge_index.
I think both of these problems comes from a single mistake!
Thanks!

hoseinmousavi
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please make a same video for SMILES notations, i really need it.🙌

keshavraghuwanshi
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Hi, thanks for the video. I also made the code like this. I made a list of data [(data1), (data2)]. And use DalaLoader to load the datalist. But it seems I failed to do so. I guess the problem is the edge array shape which doesn't match the format of DataLoader. It requires the size of [2, number of edges] and must be coo format. Could you tell me how to make this edges array? Thank you

cloverduyen
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is it possible to read the colab code?
thank you for your work :)

ronjarieger
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Please add some example code for reference.

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