bhanu1106
commented
2 years ago Hi Samuelwt ,
Even I searched hard for node regression example on internet and couldn't find it . So i thought of changing classification to regression . I am attaching my notebook below for your reference . Hope u find it useful.
On Sat, 13 Aug, 2022, 10:38 am samuelwt, @.***> wrote:
Hey @bhanu1106 https://github.com/bhanu1106!
I came across your question on the PyTorch Geometric discussion page [ https://github.com/pyg-team/pytorch_geometric/discussions/5142 https://github.com/pyg-team/pytorch_geometric/discussions/5142#discussion-4280904], and as a beginner in GNNs, I have been scouring the internet for good examples of code solving node regression problems, but have yet to find any. Most of the examples of node-level prediction has always been classification problems. Thus, when I came across your question and realized that you were solving a simple node regression problem, I was intrigued.
Will you be so kind as to maybe share a copy of the code that you've written, so that I can learn how to solve simple node regression problems? (Feel free to share any other resources that you found helpful in helping you write the code too haha).
Apologies for this unconventional way of reaching out to you. Thank you very much in advance and I look forward to hearing from you soon.
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Hey @bhanu1106!
I came across your question on the PyTorch Geometric discussion page [https://github.com/pyg-team/pytorch_geometric/discussions/5142#discussion-4280904], and as a beginner in GNNs, I have been scouring the internet for good examples of code solving node regression problems, but have yet to find any. Most of the examples of node-level prediction has always been classification problems. Thus, when I came across your question and realized that you were solving a simple node regression problem, I was intrigued.
Will you be so kind as to maybe share a copy of the code that you've written, so that I can learn how to solve simple node regression problems? (Feel free to share any other resources that you found helpful in helping you write the code too haha).
Apologies for this unconventional way of reaching out to you. Thank you very much in advance and I look forward to hearing from you soon.