Auto-GNN: Neural architecture search of graph neural networks

Auto-GNN: Neural architecture search of graph neural networks

Graph neural networks (GNNs) have been widely used in various graph analysis tasks. As the graph characteristics vary significantly in real-world systems, given a specific scenario, the architecture parameters need to be tuned carefully to identify a suitable GNN. Neural architecture search (NAS) ha...

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Bibliographic Details
Main Authors: Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Big Data
Subjects:
graph neural networks
automated machine learning
neural architecture search
deep and scalable graph analysis
reinforcement learning
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2022.1029307/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2022.1029307/full

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