GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications-Reference-Cited by-同舟云学术

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GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications

Published:2024-08-24 Issue: Volume: Page:6356-6367
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Zheng Da¹^ORCID,Song Xiang¹^ORCID,Zhu Qi¹^ORCID,Zhang Jian¹^ORCID,Vasiloudis Theodore²^ORCID,Ma Runjie¹^ORCID,Zhang Houyu³^ORCID,Wang Zichen⁴^ORCID,Adeshina Soji¹^ORCID,Nisa Israt¹^ORCID,Mottini Alejandro³^ORCID,Cui Qingjun⁵^ORCID,Rangwala Huzefa⁶^ORCID,Zeng Belinda⁷^ORCID,Faloutsos Christos²^ORCID,Karypis George¹^ORCID

Affiliation:

1. Amazon AWS AI, Santa Clara, CA, USA

2. Amazon AWS AI, Seattle, WA, USA

3. Amazon Search AI, Seattle, WA, USA

4. Amazon AWS AI, New York, NY, USA

5. Amazon Search AI, Palo Alto, CA, USA

6. Amazon AWS AI, Washington, D.C., USA

7. Amazon SP, Seattle, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671603

Reference33 articles.

1. Euler github. https://github.com/alibaba/euler, September 2020.

2. Pgl github. https://github.com/PaddlePaddle/PGL, September 2020.

3. D. Busbridge, D. Sherburn, P. Cavallo, and N. Y. Hammerla. Relational graph attention networks. 2019.

4. CogDL: A Comprehensive Library for Graph Deep Learning

5. da Xu, chuanwei ruan, evren korpeoglu, sushant kumar, and kannan achan. Inductive representation learning on temporal graphs. In International Conference on Learning Representations (ICLR), 2020.

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