Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
Author:
Affiliation:
1. University of Connecticut
2. University of Rochester
Funder
Semiconductor Research Corporation (SRC)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10323590/10323543/10323722.pdf?arnumber=10323722
Reference39 articles.
1. Inductive representation learning on large graphs;hamilton;Advances in neural information processing systems,2017
2. Semi-supervised classification with graph convolutional networks;kipf;International Conference on Learning Representations (ICLR),0
3. Cusparse library;naumov;GPU Technology Conference (GTC),0
4. I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization
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