A new study proposes a graph neural network tuned by a modified zebra optimization algorithm that models relationships among ...

A new open-access study reports that fusing attribute features with graph structure and training classifiers collaboratively ...

A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. University of ...

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...