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cs.LG2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
Roger Waleffe, Devesh Sarda, Jason Mohoney +3
We study distributed training of Graph Neural Networks (GNNs) on billion-scale graphs that are partitioned across machines. Efficient training in this setting relies on min-edge-cu…
cs.LG2024★ 2 cited
GraphSnapShot: Caching Local Structure for Fast Graph Learning
Dong Liu, Roger Waleffe, Meng Jiang +1
In our recent research, we have developed a framework called GraphSnapShot, which has been proven an useful tool for graph learning acceleration. GraphSnapShot is a framework for f…