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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 8: AAAI-21 Technical Tracks 8

NASGEM: Neural Architecture Search via Graph Embedding Method

February 1, 2023

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Authors

Hsin-Pai Cheng

Duke University


Tunhou Zhang

Duke University


Yixing Zhang

Duke University


Shiyu Li

Duke University


Feng Liang

Tsinghua University


Feng Yan

University of Nevada, Reno


Meng Li

Facebook Inc.


Vikas Chandra

Facebook Inc.


Hai Li

Duke University


Yiran Chen

Duke University


DOI:

10.1609/aaai.v35i8.16872


Abstract:

Neural Architecture Search (NAS) automates and prospers the design of neural networks. Estimator-based NAS has been proposed recently to model the relationship between architectures and their performance to enable scalable and flexible search. However, existing estimator-based methods encode the architecture into a latent space without considering graph similarity. Ignoring graph similarity in node-based search space may induce a large inconsistency between similar graphs and their distance in the continuous encoding space, leading to inaccurate encoding representation and/or reduced representation capacity that can yield sub-optimal search results. To preserve graph correlation information in encoding, we propose NASGEM which stands for Neural Architecture Search via Graph Embedding Method. NASGEM is driven by a novel graph embedding method equipped with similarity measures to capture the graph topology information. By precisely estimating the graph distance and using an auxiliary Weisfeiler-Lehman kernel to guide the encoding, NASGEM can utilize additional structural information to get more accurate graph representation to improve the search efficiency. GEMNet, a set of networks discovered by NASGEM, consistently outperforms networks crafted by existing search methods in classification tasks, i.e., with 0.4%-3.6% higher accuracy while having 11%- 21% fewer Multiply-Accumulates. We further transfer GEMNet for COCO object detection. In both one-stage and twostage detectors, our GEMNet surpasses its manually-crafted and automatically-searched counterparts.

Topics: AAAI

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HOW TO CITE:

Hsin-Pai Cheng||Tunhou Zhang||Yixing Zhang||Shiyu Li||Feng Liang||Feng Yan||Meng Li||Vikas Chandra||Hai Li||Yiran Chen NASGEM: Neural Architecture Search via Graph Embedding Method Proceedings of the AAAI Conference on Artificial Intelligence (2021) 7090-7098.

Hsin-Pai Cheng||Tunhou Zhang||Yixing Zhang||Shiyu Li||Feng Liang||Feng Yan||Meng Li||Vikas Chandra||Hai Li||Yiran Chen NASGEM: Neural Architecture Search via Graph Embedding Method AAAI 2021, 7090-7098.

Hsin-Pai Cheng||Tunhou Zhang||Yixing Zhang||Shiyu Li||Feng Liang||Feng Yan||Meng Li||Vikas Chandra||Hai Li||Yiran Chen (2021). NASGEM: Neural Architecture Search via Graph Embedding Method. Proceedings of the AAAI Conference on Artificial Intelligence, 7090-7098.

Hsin-Pai Cheng||Tunhou Zhang||Yixing Zhang||Shiyu Li||Feng Liang||Feng Yan||Meng Li||Vikas Chandra||Hai Li||Yiran Chen. NASGEM: Neural Architecture Search via Graph Embedding Method. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.7090-7098.

Hsin-Pai Cheng||Tunhou Zhang||Yixing Zhang||Shiyu Li||Feng Liang||Feng Yan||Meng Li||Vikas Chandra||Hai Li||Yiran Chen. 2021. NASGEM: Neural Architecture Search via Graph Embedding Method. "Proceedings of the AAAI Conference on Artificial Intelligence". 7090-7098.

Hsin-Pai Cheng||Tunhou Zhang||Yixing Zhang||Shiyu Li||Feng Liang||Feng Yan||Meng Li||Vikas Chandra||Hai Li||Yiran Chen. (2021) "NASGEM: Neural Architecture Search via Graph Embedding Method", Proceedings of the AAAI Conference on Artificial Intelligence, p.7090-7098

Hsin-Pai Cheng||Tunhou Zhang||Yixing Zhang||Shiyu Li||Feng Liang||Feng Yan||Meng Li||Vikas Chandra||Hai Li||Yiran Chen, "NASGEM: Neural Architecture Search via Graph Embedding Method", AAAI, p.7090-7098, 2021.

Hsin-Pai Cheng||Tunhou Zhang||Yixing Zhang||Shiyu Li||Feng Liang||Feng Yan||Meng Li||Vikas Chandra||Hai Li||Yiran Chen. "NASGEM: Neural Architecture Search via Graph Embedding Method". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.7090-7098.

Hsin-Pai Cheng||Tunhou Zhang||Yixing Zhang||Shiyu Li||Feng Liang||Feng Yan||Meng Li||Vikas Chandra||Hai Li||Yiran Chen. "NASGEM: Neural Architecture Search via Graph Embedding Method". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 7090-7098.

Hsin-Pai Cheng||Tunhou Zhang||Yixing Zhang||Shiyu Li||Feng Liang||Feng Yan||Meng Li||Vikas Chandra||Hai Li||Yiran Chen. NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI[Internet]. 2021[cited 2023]; 7090-7098.


ISSN: 2374-3468


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