G-MLP: Graph Multi-Layer Perceptron for Node Classification Using Contrastive Learning
Graph Convolutional Network (GCN) and its variants emerged as powerful graph deep learning methods with promising performance on graph analysis tasks. Different variants improve performance by introducing efficient information propagation and aggregation modules of GCN. To simplify the message passi...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2024-01-01
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| Seri Bilgileri: | IEEE Access |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/10606483/ |
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