Tag: Graph Neural Networks

A new survey in Artificial Intelligence Review unifies graph structure learning and automated graph neural architecture search into a single ...

Researchers show that a randomly initialized, never-trained graph neural network paired with a lightweight streaming classifier outperforms state-of-the-art methods in ...

Researchers at the University of Naples Federico II have developed a hierarchical graph neural network framework that represents breast tissue ...

Researchers at Xidian University have developed GETI-WR, a graph neural network method that estimates worker reliability per task using bias ...

Researchers have developed a graph neural network model that learns dynamic time delays between variables in multivariate time series, improving ...

A new review argues that integrating density functional theory with machine learning has matured into a powerful, experimentally validated engine ...

Researchers have developed a graph-enhanced bidirectional GRU model that detected 44 of 45 simulated anomalies in a realistic power generation ...

A comprehensive review of 53 studies shows deep learning systems can automatically segment lymphoma lesions on PET/CT, non-invasively classify disease, ...

Researchers have developed CSCProv, a compression framework that shrinks massive provenance graphs by up to thirty times while preserving the ...

Researchers have developed GRAB-FL, a graph-aware federated learning framework that uses graph neural networks to assign trust scores to client ...