Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
Author:
Affiliation:
1. DCST, Tsinghua University, Beijing, China
2. Lanzhou University, Lanzhou, China
3. DCST, BNRist, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Beijing Key Lab of Networked Multimedia
Beijing National Research Center For Information Science And Technology
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637528.3671706
Reference63 articles.
1. Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
2. Graph Neural Networks with Convolutional ARMA Filters
3. Multimodal Graph Neural Architecture Search under Distribution Shifts
4. Rongshen Cai, Qian Tao, Yufei Tang, and Min Shi. 2021. ALGNN: Auto-Designed Lightweight Graph Neural Network. In Pacific Rim International Conference on Artificial Intelligence. Springer, 500--512.
5. Rethinking Graph Neural Architecture Search from Message-passing
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