Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer ...

MGMN consists of a node-graph matching network for effectively learning cross-level interactions between each node of one graph and the other whole graph, and a siamese graph neural network to learn ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...

Python package built to ease deep learning on graph, on top of existing DL frameworks.