Self-Supervised Learning

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Graph representation learning (GRL) is critical for graph-structured data analysis. However, most of the existing graph neural networks …
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Graph self-supervised learning: A survey
Deep learning on graphs has attracted significant interests recently. However, most of the works have focused on (semi-) supervised …
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CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
Graph similarity learning refers to calculating the similarity score between two graphs, which is required in many realistic …
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Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Graph representation learning plays a vital role in processing graph-structured data. However, prior arts on graph representation …
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