Analyzing GCN Aggregation on GPU-Reference-Cited by-同舟云学术

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Analyzing GCN Aggregation on GPU

Published:2022 Issue: Volume:10 Page:113046-113060
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kim Inje¹^ORCID,Jeong Jonghyun¹,Oh Yunho²,Yoon Myung Kuk³^ORCID,Koo Gunjae¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Korea University, Seoul, South Korea

2. School of Electrical Engineering, Korea University, Seoul, South Korea

3. Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea

Funder

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09930519.pdf?arnumber=9930519

Reference52 articles.

1. Geom-GCN: Geometric graph convolutional networks;pei;Proc Int Conf Learn Represent,2020

2. struc2vec

3. Inductive representation learning on large graphs;hamilton;arXiv 1706 02216,2017

4. Deep Gaussian embedding of graphs: Unsupervised inductive learning via ranking;bojchevski;Proc Int Conf Learn Represent,2018

5. GraphSAINT: Graph sampling based inductive learning method;zeng;arXiv 1907 04931,2019

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1. GNNOne: A Unified System Optimizations for GNN Kernels;Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing;2024-06-03

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