Open mr-lhn opened 1 month ago
If you are a researcher in the field of ocean engineering, I recommend reading the paper below and the ".txt" file on GitHub to help understand the code. However, if you are a researcher in other fields, I suggest reading the article "Semi-Supervised Classification with Graph Convolutional Networks" on GCN modeling. The authors have also made the code publicly available on GitHub, and it is very detailed. You can also learn the basics of GNN from "https://distill.pub/2021/gnn-intro/". ------------------ Original ------------------ From: @.>; Date: Mon, Oct 14, 2024 08:45 PM To: @.>; Cc: @.***>; Subject: [destiny1103/DT-GNN] How do I deploy this project to my local network? (Issue #1)
readme is a little bit simple. I just started learning about graph neural networks,so i want to run through you code then learn your paper.
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Thank you for your recommendation! by the way Semi-Supervised Classification with Graph Convolutional Networks code project name is pygcn ?
The code project name for semi-supervised classification using graph convolutional networks is gcn, which is the original code that uses the tensorflow framework. pygcn is a refactored project under the pytorch framework. pygcn project is much easier to understand, and the details of the called functions in it can be found in the pytorch 0.4.1 project development documentation. ------------------ Original ------------------ From: @.>; Date: Tue, Oct 15, 2024 09:33 AM To: @.>; Cc: @.>; @.>; Subject: Re: [destiny1103/DT-GNN] How do I deploy this project to my local network? (Issue #1)
Thank you for your recommendation! by the way Semi-Supervised Classification with Graph Convolutional Networks code project name is pygcn ?
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appreciate you a lot !
readme is a little bit simple. I just started learning about graph neural networks,so i want to run through you code then learn your paper.