DeepMCGCN: Multi-channel Deep Graph Neural Networks
Abstract Graph neural networks (GNNs) have shown powerful capabilities in modeling and representing graph structural data across various graph learning tasks as an emerging deep learning approach. However, most existing GNNs focus on single-relational graphs and fail to fully utilize the rich and di...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-02-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-024-00432-9 |