This is the official implementation used in the paper Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing (arXiv), which has been accepted for ...

Abstract: Deep neural networks for graphs (DNNGs) represent an emerging field that studies how the deep learning method can be generalized to graph-structured data. Since graphs are a powerful and ...

Abstract: Knowledge graph (KG) alignment aims to integrate different KGs through the linkage of equivalent entities across them, enabling more comprehensive knowledge and facilitating information ...

A federal court in Brooklyn sentenced Vadim Yermolenko, a dual US-Russian citizen, to 30 months in prison for his role in a scheme supplying ammunition and dual-use technology to the Russian military ...

Some huge news dropped on Wednesday evening as the West Virginia District Court granted a temporary restraining order and preliminary injunction to West Virginia running back Tye Edwards, wide ...

Extend CUDAPiecewiseBackend to dynamically select and execute different compiled graphs based on runtime conditions, moving beyond its current reliance on pre-defined compile sizes. This includes the ...