IEEE

Graph Neural Network Algorithm Based on Graph Convolution and Attention Mechanism

Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...
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 ...
GitHub

chen26sanken/Utilizing-Molecular-Descriptors-in-Graph-Convolutional-Neural-Networks

¹ SANKEN, The University of Osaka, Mihogaoka 8-1, Ibaraki, Osaka, 567-0047, JAPAN ² Graduate School of Information Science and Technology, The University of Osaka, Yamadaoka 1-5, Suita, 565-0871, ...
GitHub

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction

This archive is distributed in association with the INFORMS Journal on Computing under the MIT License. The software and data in this repository are a snapshot of the software and data that were used ...