A new graph neural network framework called EGNN expands rare attack samples and uses threshold-controlled pseudo-labeling to ...

Published in the journal Data Science and Engineering, the study presents CTM-Explainer, a post-hoc counterfactual ...

StellarGraph has launched a series of new algorithms for network graph analysis to help discover patterns in data, work with larger data sets and speed up performance while reducing memory usage.

Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...

Graphs have been around forever, but the internet has given them new life. It's refocused our attention on the use of graph concepts for information search as an option to traditional hierarchical ...