C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
IEEE

Transient Error Analysis of the LMS and RLS Algorithm for Graph Signal Estimation

Abstract: Recently, the proposal of the least mean square (LMS) and recursive least squares (RLS) algorithm for graph signal processing (GSP) provides excellent solutions for processing signals ...
C&EN

Cone-Shaped Constrained Quasi-Newton Method: Efficient and Robust Single-Ended Transition State Optimization Algorithm

State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Center for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
GitHub

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context

This repository contains the official implementation of our ICML 2024 paper, VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context. VisionGraph, is a benchmark ...
IEEE

Online Query Optimization Through an Effective Kruskal's Algorithm

Abstract: Finding the MST of a weighted connected and undirected graph plays a vital role in different applications of the real world such as effective route finding during navigation, faster ...