IEEE

Multi-Scale Structural Graph Convolutional Network for Skeleton-Based Action Recognition

Abstract: Graph convolutional networks (GCNs) have attracted considerable interest in skeleton-based action recognition. Existing GCN-based models have proposed methods to learn dynamic graph ...
IEEE

ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays

Abstract: Image representation is a fundamental task in computer vision. However, most of the existing approaches for image representation ignore the relations between images and consider each input ...
GitHub

GraphGPT: Graph Instruction Tuning for Large Language Models

Data Intelligence Lab@University of Hong Kong, Baidu Inc. This repository hosts the code, data and model weight of GraphGPT (SIGIR'24 full paper track). Due to compatibility issues, if you are using ...
GitHub

Ligra: A Lightweight Graph Processing Framework for Shared Memory

The code for Ligra, Ligra+, and Hygra is located in the ligra/ directory. The code for the applications is in the apps/ directory, which is where compilation should be performed. Example inputs are ...