Name
Abstract | ||
|---|---|---|
•A novel neural network-based method for multi-label graph node classification.•Use one-dimensional convolution modules for node representation learning.•Use attention mechanism to capture node-label dependencies during training.•Extensive experiments manifest the superiority of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115063 | Expert Systems with Applications |
Keywords | DocType | Volume |
Multi-label classification,Graph node classification,Graph convolution,Attention mechanism | Journal | 180 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cangqi Zhou | 1 | 2 | 3.42 |
| Hui Chen | 2 | 218 | 20.26 |
| Jing Zhang | 3 | 22 | 5.41 |
| Li Qian-Mu | 4 | 33 | 14.78 |
| Dianming Hu | 5 | 0 | 1.35 |
| Victor S. Sheng | 6 | 20 | 5.76 |