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Although you said that your method support large size graph in your paper, I tested it on a graph with about 10, 000 nodes, the program was terminated while running because it exceeded the system memory. However, the memory of the server is 128G,so where might the problem lie?
The text was updated successfully, but these errors were encountered:
you can change the code to use mini-batch instead
Sorry to bother you again. This issue happened when I try to use DatasetLoader.py to generate intimacy matrix "S", but isn’t mini-batch used in the model training process?
Although you said that your method support large size graph in your paper, I tested it on a graph with about 10, 000 nodes, the program was terminated while running because it exceeded the system memory. However, the memory of the server is 128G,so where might the problem lie?
The text was updated successfully, but these errors were encountered: