Tag: contrastive learning

Researchers have developed DES-CMR, an AI model that learns to select and reason over evidence documents end to end while ...

Researchers in China have developed MKMed, a cross-modal AI framework that aligns five types of drug knowledge to overcome the ...

Researchers have developed BHyGNN+, a self-supervised framework that learns representations of heterophilic hypergraphs without labels by contrasting each hypergraph against ...

Researchers in China have developed a dual-path deep learning network that keeps multimodal sentiment analysis accurate even when text, audio ...

A new graph neural network study of spatial transcriptomics finds that attention mechanisms, not elaborate edge features, drive accurate identification ...

A new framework called LLM-H2G fuses large language model semantics with hypergraph contrastive learning to predict herb–disease associations, outperforming existing ...

Researchers have developed a zero-shot classification framework that aligns short, noisy citizen hotline texts with richly described class attributes in ...

A new knockoff-augmented neural network called KNOT brings false discovery rate control to deep-learning-based genetic association studies, uncovering more autism ...

A systematic review in Artificial Intelligence Review maps six methodological families of time series one-class classification and charts the challenges ...

Researchers have developed AVP-Pro, a two-stage deep learning framework that identifies antiviral peptides and predicts which virus families and specific ...