Graph Neural Networks (GNNs) and network embedding techniques have emerged as powerful tools for analyzing and interpreting complex data structures represented as graphs. These methods are ...

gFTP adjusted neural network dynamics to match a user ... the time needed for graph consistency and matrix construction. Discrete attractor graphs generally require less time for consistency ...