Accelerating Backward Aggregation in GCN Training With Execution Path Preparing on GPUs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3205642
Abstract: The emerging Graph Convolutional Network (GCN) has been widely used in many domains, where it is important to improve the efficiencies of applications by accelerating GCN trainings. Due to the sparsity nature and exploding scales… read more here.
Keywords: gcn; graph; gcn training; execution path ... See more keywords