Tag: Graph Neural Networks

Researchers at Brown University have developed SCIGMA, a deep learning framework that integrates up to five spatial omics modalities across ...

A new dual-layer knowledge graph model detects corporate financial fraud with up to 94.2 percent accuracy while providing auditors with ...

Researchers have developed HB-Geo, a graph neural network method that geolocates every reachable IP address by rebuilding subgraphs around hop ...

Graphs are everywhere in modern science: citation networks, protein interaction maps, social platforms, e-commerce co-purchase structures, and knowledge graphs powering ...

Researchers have developed a unified graph-based recommendation method that sequences online learning resources according to conceptual dependencies and learner behavior.

Graph neural networks are rapidly becoming the workhorses of artificial intelligence for molecules, social networks, computer programs and infrastructure—but their ...

In the relentless pursuit of safer and more effective pharmaceuticals, understanding the intricate dance of drug metabolism has always stood ...