Name
Abstract | ||
|---|---|---|
•Propose a novel deep neural network method for node classification.•The model could overcome the existing problem of only getting the suboptimal solution.•A superior performance of results demonstrates the effectiveness of proposed approach. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2019.07.006 | Expert Systems with Applications |
Keywords | Field | DocType |
Network embedding,Node classification,Deep neural network,Deep learning | Pattern recognition,Softmax function,Computer science,Support vector machine,Artificial intelligence,Deep learning,Classifier (linguistics),Artificial neural network,Contextual image classification,Pointwise mutual information,Machine learning,Encoding (memory) | Journal |
Volume | ISSN | Citations |
137 | 0957-4174 | 2 |
PageRank | References | Authors |
0.38 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bentian Li | 1 | 6 | 1.81 |
| De-Chang Pi | 2 | 177 | 39.40 |