GitHub

Semi-Supervised Graph Imbalanced Regression

This is the code for SGIR, a semi-supervised framework for Graph Imbalanced Regression. Data imbalance is easily found in annotated data when the observations of certain continuous label values are ...
IEEE

Predicting miRNA-Disease Association Based on Improved Graph Regression

Abstract: Recently, as a growing number of associations between microRNAs (miRNAs) and diseases are discovered, researchers gradually realize that miRNAs are closely related to several complicated ...
GitHub

QwQ2000/TheWebConf24-LTGNN-PyTorch

This is the Pytorch implementation for our TheWebConf'24 paper "Linear-Time Graph Neural Networks for Scalable Recommendations". Please find our paper in ACM Digital ...
IEEE

2-D-to-3-D Lifting Human Pose Estimation Based on Simple Graph Convolution Regression

Abstract: In 2-D-to-3-D human pose estimation (HPE), the torso connection relationship between joints, which can be seen as important constraint information, is critical to improving the accuracy of 3 ...