I want to run Label propagation algorithms from dgl on GPU. My graph just have 1 node (customer), the statistic of the graph is more then 5 millions node and 9 millions edges. When I run graph for label propagation function, it raise an error of out of memory. Is there any way that I can fix this problem?
Thank yiu!
Hi @minhntn, DGL supports place the graph and features in the CPU memory while computing in the GPU. See uva in dgl dataloader.
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