Unsupervised learning is just at a tipping point where it could really take off. Among these approaches, contrastive learning has led to state-of-the-art performance. In this paper, we construct a ...

In tailored graph-level contrastive learning, we employ contrast learning in self-supervised learning and classification loss to jointly train graph classifiers, thus solving the problem of relying on ...