Some problems on training new SubgraphX gnns

[ZhaoningYu1996]

Hi,

I am planning to train a new SubgraphX on the Mutagenicity dataset.
I find a line in MUTAGDataset class:
adj_all = np.zeros((len(nodes_all), len(nodes_all)))
This line will create a really large array when the size of the dataset is large. (For Mutagenicity, the shape of the array is (131488, 131488))
Could you tell me how can I do to avoid the out-of-memory issue?

Thank you,
Zhaoning

[Oceanusity]

Hello.
This code is especially for the MUTAG datasets with 189 molecules.
I think you can write codes for the Mutagenicity datasets to read the graph with sparse matrix, and the key is to save torch_geometric.data.Data to the data_list for each graph.