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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 10: AAAI-21 Technical Tracks 10

One-shot Graph Neural Architecture Search with Dynamic Search Space

February 1, 2023

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Authors

Yanxi Li

University of Sydney


Zean Wen

University of Sydney


Yunhe Wang

Huawei Noah's Ark Lab


Chang Xu

University of Sydney


DOI:

10.1609/aaai.v35i10.17033


Abstract:

Relying on the diverse graph convolution operations that have emerged in recent years, graph neural networks (GNNs) are shown to be powerful to deal with high-dimensional non-Euclidean domains, such as social networks or citation networks. Despite the tremendous human efforts been taken to explore new graph convolution operations, there are a few attempts to automatically search operations in GNNs. The search space of GNNs is significantly larger than that of CNNs, because of diverse components in the message-passing of GNNs. This, therefore, prevents the straightforward application of classical NAS methods for GNNs. In this work, we propose a novel dynamic one-shot search space for multi-branch neural architectures of GNNs. The dynamic search space maintains a subset of the large search space along with a set of importance weights for operation candidates in the subset as the architecture parameters. After each iteration, the subset is pruned by removing candidates with low importance weights and is expanded with new operations. The dynamic subsets of operation candidates are not uniform but is individual for each edge in the computation graph of the neural architecture, which can ensure the diversity of operations in the final architecture is as competitive as direct search in the large search space. Our experiments of semi-supervised and supervised node classification on citation networks, including Cora, Citeseer, and Pubmed, demonstrate that our method outperforms the current state-of-the-art manually designed architectures and reaches competitive performance to existing GNN NAS approaches with up to 10 times of speedup.

Topics: AAAI

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HOW TO CITE:

Yanxi Li||Zean Wen||Yunhe Wang||Chang Xu One-shot Graph Neural Architecture Search with Dynamic Search Space Proceedings of the AAAI Conference on Artificial Intelligence (2021) 8510-8517.

Yanxi Li||Zean Wen||Yunhe Wang||Chang Xu One-shot Graph Neural Architecture Search with Dynamic Search Space AAAI 2021, 8510-8517.

Yanxi Li||Zean Wen||Yunhe Wang||Chang Xu (2021). One-shot Graph Neural Architecture Search with Dynamic Search Space. Proceedings of the AAAI Conference on Artificial Intelligence, 8510-8517.

Yanxi Li||Zean Wen||Yunhe Wang||Chang Xu. One-shot Graph Neural Architecture Search with Dynamic Search Space. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.8510-8517.

Yanxi Li||Zean Wen||Yunhe Wang||Chang Xu. 2021. One-shot Graph Neural Architecture Search with Dynamic Search Space. "Proceedings of the AAAI Conference on Artificial Intelligence". 8510-8517.

Yanxi Li||Zean Wen||Yunhe Wang||Chang Xu. (2021) "One-shot Graph Neural Architecture Search with Dynamic Search Space", Proceedings of the AAAI Conference on Artificial Intelligence, p.8510-8517

Yanxi Li||Zean Wen||Yunhe Wang||Chang Xu, "One-shot Graph Neural Architecture Search with Dynamic Search Space", AAAI, p.8510-8517, 2021.

Yanxi Li||Zean Wen||Yunhe Wang||Chang Xu. "One-shot Graph Neural Architecture Search with Dynamic Search Space". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.8510-8517.

Yanxi Li||Zean Wen||Yunhe Wang||Chang Xu. "One-shot Graph Neural Architecture Search with Dynamic Search Space". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 8510-8517.

Yanxi Li||Zean Wen||Yunhe Wang||Chang Xu. One-shot Graph Neural Architecture Search with Dynamic Search Space. AAAI[Internet]. 2021[cited 2023]; 8510-8517.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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