Simplified and Adjustable Graph Diffusion Neural Networks
Graph Convolutional Networks (GCNs) have become a widely used framework for learning from graph-structured data due to their efficiency and performance in tasks such as node classification and link prediction. However, conventional GCNs are limited by a small receptive field, typically restricted to...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2025-11-01
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| Serie: | Systems |
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| Accesso online: | https://www.mdpi.com/2079-8954/13/11/1040 |
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