sw-gong

Reseach Assistant & PhD student @ Imperial College London; Interested in Geometric Deep Learning, Generative Models, Shape Analysis.

London

Pinned Repositories

pytorch_geometric
Graph Neural Network Library for PyTorch
Language:Python21.6k 254 3.6k3.7k
coma
Pytorch reproduction of the paper "Generating 3D faces using Convolutional Mesh Autoencoders (CoMA)" (ECCV 2018)
Language:Python90 5 617
FeaStNet
Pytorch reproduction of the paper "FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis" (CVPR 18)
Language:Python16 3 15
GNN-Tutorial
Graph Neural Network Tutorial
Language:Jupyter Notebook182 3 245
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
Language:Jupyter Notebook3 1 02
MoNet
Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)
Language:Python55 3 310
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
Language:Python2 2 00
spiralnet_plus
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (ICCV-W 2019)
Language:Python125 11 1123

sw-gong/GNN-Tutorial
Graph Neural Network Tutorial
Language:Jupyter Notebook182 3 245
sw-gong/spiralnet_plus
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (ICCV-W 2019)
Language:Python125 11 1123
sw-gong/coma
Pytorch reproduction of the paper "Generating 3D faces using Convolutional Mesh Autoencoders (CoMA)" (ECCV 2018)
Language:Python90 5 617
sw-gong/MoNet
Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)
Language:Python55 3 310
sw-gong/FeaStNet
Pytorch reproduction of the paper "FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis" (CVPR 18)
Language:Python16 3 15
sw-gong/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
Language:Jupyter Notebook3 1 02
sw-gong/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
Language:Python2 2 00