IEEE

Stochastic Graph Neural Network-Based Value Decomposition for MARL in Internet of Vehicles

Abstract: Autonomous driving has witnessed incredible advances in the past several decades, while Multi-Agent Reinforcement Learning (MARL) promises to satisfy the essential need of autonomous vehicle ...
IEEE

VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning

Abstract: Although value decomposition networks and the follow on value-based studies factorizes the joint reward function to individual reward functions for a kind of cooperative multiagent ...
GitHub

GraphStorm: Enterprise graph machine learning framework for billion-scale graphs

GraphStorm is an enterprise-grade graph machine learning (GML) framework designed for scalability and ease of use. It simplifies the development and deployment of GML models on industry-scale graphs ...
C&EN

Calculation of Absolute Ligand Binding Free Energy to a Ribosome-Targeting Protein as a Function of Solvent Model

Computational Sciences and Engineering Branch, U.S. Army Research Laboratory, Aberdeen Proving Ground, Maryland 21005, Department of Cell Biology and Biochemistry, U.S. Army Medical Research Institute ...
GitHub

EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks

This is the official implementation for EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks. The methodology relies on Shapley values approximations to determine ...