IEEE

Double-Chain Graph Convolution Transformer for 3D Human Pose Estimation

Abstract: Reconstructing 3D poses from 2D poses lacking depth information is particularly challenging due to the complexity and diversity of human motion. The key is to effectively model the spatial ...
IEEE

Dynamic Graph Convolution and Spatiotemporal Self-Attention Network for Traffic Flow Prediction

Abstract: As a typical spatiotemporal series prediction task, traffic flow prediction has found wide application in intelligent transportation systems (ITS). Despite some progress, several unresolved ...
AlphaGalileo

AdapGNN: A New Framework Enhances Explainability of Graph Neural Networks for Molecular Property Prediction

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
www.cs.cmu.edu

areas/speech/systems/pc_conv/

This directory contains a demonstration version of the program P.C. Convolution. This program executes on most DOS machines and graphically demonstrates the convolution operation. It is useful in ...