This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be flexibly chosen ...

Describe the bug While attempting to compile and simulate the logical CNOT example on a Windows machine, I encountered a persistent bug related to DetectorDatabase and Python's pickle module. Speci ...

Simple module for making requests to a graphQL server in python. - prodigyeducation/python-graphql-client ...

Graph neural networks (GNNs) have become the de-facto standard for learning on graphs. GNNs involve a recursive message passing mechanism to recursively aggregate messages from adjacent nodes. It is ...