Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey
文献类型：期刊论文
| 作者 | Xin Liu ; Mingyu Yan; Lei Deng; Guoqi Li; Xiaochun Ye; Dongrui Fan
|
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2022 |
| 卷号 | 9期号:2页码:205-234 |
| ISSN号 | 2329-9266 |
| 关键词 | Efficient training graph convolutional networks (GCNs) graph neural networks (GNNs) sampling method |
| DOI | 10.1109/JAS.2021.1004311 |
| 英文摘要 | Graph convolutional networks (GCNs) have received significant attention from various research fields due to the excellent performance in learning graph representations. Although GCN performs well compared with other methods, it still faces challenges. Training a GCN model for large-scale graphs in a conventional way requires high computation and storage costs. Therefore, motivated by an urgent need in terms of efficiency and scalability in training GCN, sampling methods have been proposed and achieved a significant effect. In this paper, we categorize sampling methods based on the sampling mechanisms and provide a comprehensive survey of sampling methods for efficient training of GCN. To highlight the characteristics and differences of sampling methods, we present a detailed comparison within each category and further give an overall comparative analysis for the sampling methods in all categories. Finally, we discuss some challenges and future research directions of the sampling methods. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/45985]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Xin Liu,Mingyu Yan,Lei Deng,et al. Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(2):205-234. |
| APA | Xin Liu,Mingyu Yan,Lei Deng,Guoqi Li,Xiaochun Ye,&Dongrui Fan.(2022).Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey.IEEE/CAA Journal of Automatica Sinica,9(2),205-234. |
| MLA | Xin Liu,et al."Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey".IEEE/CAA Journal of Automatica Sinica 9.2(2022):205-234. |
入库方式： OAI收割
来源：自动化研究所
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