Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
@article{Liu2022EnhancingHG, title={Enhancing Hyperbolic Graph Embeddings via Contrastive Learning}, author={Jiahong Liu and Menglin Yang and Min Zhou and Shanshan Feng and Philippe Fournier-Viger}, journal={ArXiv}, year={2022}, volume={abs/2201.08554} }
Recently, hyperbolic space has risen as a promising alternative for semi-supervised graph representation learning. Many efforts have been made to design hyperbolic versions of neural network operations. However, the inspiring geometric properties of this unique geometry have not been fully explored yet. The potency of graph models powered by the hyperbolic space is still largely underestimated. Besides, the rich information carried by abundant unlabelled samples is also not well utilized…
7 Citations
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