GRE<sup>2</sup>-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning
Graph representation learning aims to preserve graph topology when mapping nodes to vector representations, enabling downstream tasks like node classification and community detection. However, most graph neural network models require extensive labelled data, limiting their practical applicability. T...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10937487/ |
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