Thank you so much for providing such a high value contents. Hi please do make a video or at least provide some help on how to convert tabular data into graph format. Specially how to define edges, edge features and node features.
Thanks for the comment. It is really intresting what you propose. However I personally think it is really dependent to the case in witch you apply the graph. But it is a valid question. Thanks.
hi, hope you're doing well, thanks for your good explanation, sorry i have a problem, would you please help me if possible?when i use .AddTrainValTestMask, i receive an error which says "module 'torch_geometric.transforms' has no attribute 'AddTrainValTestMask'" what's the problem?thank u
Great video. May i ask a question: i have a KG (h, r, t) stored in networkx graph G without any embediing (plain english words for nodes and relations). How should i load it in PyG to perform link prediction?
i couldn't make it to the end of the video, the word 'basically' repeated every 5sec has killed my nervs. thank for the content and the materials, tho!
![Advanced mini-batching [Advanced PyTorch Geometric Tutorial 5]](http://i.ytimg.com/vi/mz9xYNg9Ofs/mqdefault.jpg)
Thank you so much for providing such a high value contents.
Hi please do make a video or at least provide some help on how to convert tabular data into graph format. Specially how to define edges, edge features and node features.
Thanks for the comment.
It is really intresting what you propose. However I personally think it is really dependent to the case in witch you apply the graph. But it is a valid question. Thanks.
Very interesting and well explained! Thanks :)
Is it possible to do graph clustering, i.e. clustering nodes with this framework?
hi, hope you're doing well, thanks for your good explanation, sorry i have a problem, would you please help me if possible?when i use .AddTrainValTestMask, i receive an error which says "module 'torch_geometric.transforms' has no attribute 'AddTrainValTestMask'" what's the problem?thank u
I think it is deprecated. In the docs there is something like `transforms.RandomNodeSplit` instead.
How do I add new data points in a heterogenous graph? For example new customers coming onto a platform?
Great video. May i ask a question: i have a KG (h, r, t) stored in networkx graph G without any embediing (plain english words for nodes and relations). How should i load it in PyG to perform link prediction?
I think you can assign the same embedding for every node.
On minute 10, what the parameter 'ptr' represents?
thank you for bring the GNNs closer and friendlier to us haha
your welcome :)
Thank you
`import torch_geometric.datasets as datasets` causes Google Colab notebook to crash
i couldn't make it to the end of the video, the word 'basically' repeated every 5sec has killed my nervs.
thank for the content and the materials, tho!
Also, after fixing the error in my last comment, I got `AttributeError: module 'torch_geometric.transforms' has no attribute 'AddTrainValTestMask'`
fixed in 2022 by replacing `AddTrainValTestMask` with `RandomNodeSplit`