A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

Graph Neural Network based Social Recommendation Model. SIGIR2019.

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Must-read Papers for Recommender Systems (RS)

Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

implementation of STGCN for traffic prediction in IJCAI2018

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

Tensorflow implementation of Graph Convolutional Network

Semantic Room Wireframe Detection from a single perspective image

Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks [ECCV 2022]

The official project website of "3D Human Pose Lifting with Grid Convolution" (GridConv for short, oral in AAAI 2023)