IEEE

Graphusion: Latent Diffusion for Graph Generation

Abstract: Graph generation is a fundamental task in machine learning with broad impacts on numerous real-world applications such as biomedical discovery and social science. Most recently, generative ...
IEEE

Multi-Branch Multi-Scale Channel Fusion Graph Convolutional Networks With Transfer Cost for Robotic Tactile Recognition Tasks

Abstract: Inadequate consideration of tactile sensor features in existing algorithms can lead to insufficient prediction accuracy for robotic tactile recognition tasks. In this paper, we propose a ...
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 ...
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 ...