An Efficient Distributed Graph Engine for Deep Learning on Graphs

Author:

Deng Gangda1ORCID,Akgül Ömer Faruk1ORCID,Zhou Hongkuan1ORCID,Zeng Hanqing2ORCID,Xia Yinglong2ORCID,Li Jianbo2ORCID,Prasanna Viktor1ORCID

Affiliation:

1. University of Southern California (USC), United States of America

2. Meta, United States of America

Funder

National Science Foundation

DEVCOM Army Research Laboratory

Meta Platforms Inc.

Publisher

ACM

Reference32 articles.

1. Local Graph Partitioning using PageRank Vectors

2. Scaling Graph Neural Networks with Approximate PageRank

3. Jie Chen , Xing Xie , Shuo Zhou , Jiaxin Huang , Bin Qin , and Wenwu Zhu . 2018 . Scalable Personalized PageRank Estimation via Graph Partitioning . In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 1334–1343 . Jie Chen, Xing Xie, Shuo Zhou, Jiaxin Huang, Bin Qin, and Wenwu Zhu. 2018. Scalable Personalized PageRank Estimation via Graph Partitioning. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 1334–1343.

4. Ming Chen , Zhewei Wei , Bolin Ding , Yaliang Li , Ye Yuan , Xiaoyong Du , and Ji-Rong Wen . 2020. Scalable graph neural networks via bidirectional propagation. Advances in neural information processing systems 33 ( 2020 ), 14556–14566. Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, and Ji-Rong Wen. 2020. Scalable graph neural networks via bidirectional propagation. Advances in neural information processing systems 33 (2020), 14556–14566.

5. Matthias Fey and Jan Eric Lenssen . 2019. Fast graph representation learning with PyTorch Geometric. arXiv preprint arXiv:1903.02428 ( 2019 ). Matthias Fey and Jan Eric Lenssen. 2019. Fast graph representation learning with PyTorch Geometric. arXiv preprint arXiv:1903.02428 (2019).

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