Tag: Graph Neural Networks

Researchers at Zhejiang University and Hangzhou City University have developed DeepMoCo, a graph neural network framework that adaptively corrects both ...

A new framework combining deep reinforcement learning, graph neural networks, and blockchain-based verification synchronizes distributed accounting ledgers in real time ...

Researchers at Dalian Maritime University have developed ESTGCN, a graph neural network that dynamically rewires regional traffic relationships to deliver ...

Researchers at the University of Oklahoma combined density functional theory calculations with graph neural networks to predict lithium-ion migration across ...

A new editorial in Frontiers in Control Engineering surveys how game theory, graph neural networks, and heterogeneous robot teams are ...

A new autonomous AI framework called DriftGuard detects, diagnoses, and corrects calibration drift in ocean sensor networks up to three ...

A new review in Frontiers in Bioinformatics surveys how machine learning and deep learning models are reshaping toxicity prediction across ...

Researchers in China developed an improved crystal graph neural network that screened more than 46,000 piezoelectric crystals and identified several ...

Researchers outline a comprehensive blueprint for building trustworthy foundation models that emulate expensive physics simulations on exascale supercomputers.

A new framework called ADTE combines graph-attentive neural networks, non-stationary reinforcement learning, and continual learning to deliver adversarially robust, certified ...