G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs-Reference-Cited by-同舟云学术

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G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:2023 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT)
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Author:

Jin Yue¹,Huan Chengying²,Zhang Heng²,Liu Yongchao¹,Song Shuaiwen Leon³,Zhao Rui¹,Zhang Yao⁴,He Changhua⁵,Chen Wenguang¹

Affiliation:

1. Ant Group

2. Chinese Academy of Sciences

3. University of Sydney

4. Microsoft

5. Dipeak Ltd

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10364561/10364563/10364585.pdf?arnumber=10364585

Reference48 articles.

1. Modeling polypharmacy side effects with graph convolutional networks

2. Modeling Relational Data with Graph Convolutional Networks

3. Graph Convolutional Neural Networks for Web-Scale Recommender Systems

4. Neural message passing for quantum chemistry;Gilmer

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