Abstract: Contrastive Learning (CL) has emerged as a popular self-supervised representation learning paradigm that has been shown in many applications to perform similarly to traditional supervised ...
Abstract: Graph representation learning has attracted lots of attention recently. Existing graph neural networks fed with the complete graph data are not scalable due to limited computation and memory ...
Contrast Security today made available an update to its application detection and response platform that leverages graph and artificial intelligence (AI) technologies to provide security operations ...
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