Existing methods like SSL use a binary graph based on augmentations of the same sample, while supervised learning relies on ...

Using an advanced approach called graph contrastive learning, STAIG identifies key spatial features, enabling it to map distinct gene expression patterns to specific tissue regions. “STAIG ...

An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data issues. The paper, titled "Research on the Application ...