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 ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Besides, the limited learning capacity of the adopted shallow models is another challenge for MvRL. To tackle them, in this paper, we propose a novel unsupervised deep multi-view representation ...