Contrastive learning for heterogeneous graph neural networks
The challenge of node classification in a heterogeneous graph has generated a lot of research interests in recent years. HeCo, as a novel and popular contrastive learning-based model, performs as a leading method in this field. Therefore, the technical details of HeCo model is reviewed and re-implem...
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| 格式: | Thesis-Master by Coursework |
| 語言: | English |
| 出版: |
Nanyang Technological University
2023
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/164475 |
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