CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional ...

Inspired by self-supervised learning, it uses a cross-view contrastive learning technique, splitting the graph into spatial and temporal views, designing specific graph neural networks, and using ...

Hongwei Li’s team from China University of Geosciences published a research article titled “scSCC: A swapped contrastive ...

An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data issues.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...