[ICLR 2022] PipeGCN: Efficient Full-Graph Training of GCNs with Pipelined Feature Communication

Описание к видео [ICLR 2022] PipeGCN: Efficient Full-Graph Training of GCNs with Pipelined Feature Communication

[ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin

Paper: https://openreview.net/pdf?id=kSwqMH0...
Github: https://github.com/RICE-EIC/PipeGCN
Docker: https://hub.docker.com/r/cheng1016/pi...

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