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How does jraph support large scale graph neural network training?
HI,
We note that DeepMind team use jraph to win the 2021 KDD OGB MAG240M-LSC Track. As I found that, this OGB dataset contain 100 million nodes, so I want to say, how does jraph support this large scale gnn model training? The jraph documentation is too simple, could you please provide some more details about the MAG240M-LSC Track and the large scale gnn training? thx.
Hi,
Please take a look the released repository for MAG: https://github.com/deepmind/deepmind-research/tree/master/ogb_lsc/mag