How to apply this model to extract graph features from multiple graphs?

[BrainLyh]

Can I understand that the current dataset "cora" in the project only contains one graph, and how can I modify the code to utilize data from multiple graphs for training and generate overall graph embeddings?

[hh-hh19]

Can I understand that the current dataset "cora" in the project only contains one graph, and how can I modify the code to utilize data from multiple graphs for training and generate overall graph embeddings?

As I understand it, GAT can only get embeddings for nodes. If you want to get full-graph embeddings, you need a graph pool method, such as diffpool

[GitHubSOLUTE]

Can I understand that the current dataset "cora" in the project only contains one graph, and how can I modify the code to utilize data from multiple graphs for training and generate overall graph embeddings?

Do u know how to utilize data from multiple graphs for training now?

[GitHubSOLUTE]

Can I understand that the current dataset "cora" in the project only contains one graph, and how can I modify the code to utilize data from multiple graphs for training and generate overall graph embeddings?

As I understand it, GAT can only get embeddings for nodes. If you want to get full-graph embeddings, you need a graph pool method, such as diffpool

The question is, now the model's input is like one graph, do I need to change the model' input or architecture?