Name
Abstract | ||
|---|---|---|
•A new inductive framework for graph-based semi-supervised classification is proposed.•The proposed framework combines semi-supervised autoencoders and graph-based pseudo-labeling.•Two variants based on confidence-aware label propagation and graph attention networks are proposed.•The framework outperforms state-of-the-art competitors on data with very small amounts of labeled examples.•The framework is generic as it is designed to work on data of any kind. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2021.03.051 | Neurocomputing |
Keywords | DocType | Volume |
Semi-supervised learning,Graph-based algorithms,Inductive methods | Journal | 447 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuyi Yang | 1 | 0 | 0.34 |
| Dino Ienco | 2 | 295 | 42.01 |
| Roberto Esposito | 3 | 64 | 10.87 |
| Ruggero G. Pensa | 4 | 354 | 31.20 |