λGrapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing
Author:
Affiliation:
1. Huazhong University of Science and Technology, Wuhan, China
2. Peng Cheng Laboratory & Huazhong University of Science and Technology, Shenzhen, China
3. Nanchang University, Nanchang, China
4. Paderborn University, Paderborn, Germany
Funder
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
National Key Research & Development (R&D) Plan
The Major Key Project of PCL
NSFC
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589334.3645383
Reference56 articles.
1. Alibaba. 2020. graph-learn: An Industrial Graph Neural Network. https://graph-learn.readthedocs.io/en/latest/index_en.html[Online Accessed 12-Feb-2024].
2. ArchiveTeam. [n.,d.]. Twitter streaming traces, 2017. https://github.com/rickypinci/BATCH/tree/sc2020/traces[Online Accessed, 12-Feb-2024].
3. Hardware Acceleration of Graph Neural Networks
4. AWS. [n. d.]. AWS Auto Scaling. https://aws.amazon.com/cn/autoscaling/[Online Accessed 12-Feb-2024].
5. The price of complexity in financial networks
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