A learnable sampling method for scalable graph neural networks
- DOI
- 10.1016/j.neunet.2023.03.015
- Published
- 2023-05
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2023.03.015,
title = {A learnable sampling method for scalable graph neural networks},
author = {Weichen Zhao and Tiande Guo and Xiaoxi Yu and Congying Han},
year = {2023},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2023.03.015},
url = {https://doi.org/10.1016/j.neunet.2023.03.015}
}RIS
TY - JOUR TI - A learnable sampling method for scalable graph neural networks AU - Weichen Zhao AU - Tiande Guo AU - Xiaoxi Yu AU - Congying Han PY - 2023 JO - Neural Networks DO - 10.1016/j.neunet.2023.03.015 UR - https://doi.org/10.1016/j.neunet.2023.03.015 ER -
APA
Zhao, W., Guo, T., Yu, X., & Han, C. (2023). A learnable sampling method for scalable graph neural networks. Neural Networks. https://doi.org/10.1016/j.neunet.2023.03.015
Source records
- crossref · retrieved 2026-09-27T06:44:14.305Z