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

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 ...
IEEE

Distributed Graph-Based Learning for User Association and Beamforming Design in Multi-RIS Multi-Cell Networks

Abstract: We propose a novel graph neural network (GNN) architecture for jointly optimizing user association, base station (BS) beamforming, and reconfigurable intelligent surface (RIS) phase shift in ...
GitHub

FAST-API-WORKFLOW-ENGINE-BY-LANGRAPH

A lightweight, extensible workflow engine built using FastAPI. This backend allows you to define graphs of processing nodes, execute them as workflows, log every step, and retrieve the results via ...