Unearthing experimental materials data buried in scientific papers using LLMs

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
IEEE

Communication-Aware Graph Neural Network for Multi-Agent Reinforcement Learning

Abstract: Multi-agent reinforcement learning (MARL) requires effective communication strategies to solve complex control tasks over uncertain communication channels. This paper explores a ...
IEEE

DIG-Mol: A Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction

Abstract: Molecular property prediction is a key component of AI-driven drug discovery and molecular characterization learning. Despite recent advances, existing methods still face challenges such as ...