Multi-view dual-channel graph convolutional networks with multi-task learning
Abstract Network embedding has been extensively used in several practical applications and achieved great success. However, existing studies mainly focus on single task or single view and cannot obtain deeper relevant information for accomplishing tasks. In this paper, a novel approach is proposed t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-10-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-023-01250-w |