P3-Distributed Deep Graph Learning at Scale

no code implementations • USENIX Symposium on Operating Systems Design and Implementation 2021 • Swapnil Gandhi, Anand Padmanabha Iyer

We observe that scalability challenges in training GNNs are fundamentally different from that in training classical deep neural networks and distributed graph processing; and that commonly used techniques, such as intelligent partitioning of the graph do not yield desired results.

Graph Learning