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hmmgnn's Projects

2s-agcn icon 2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

clustergcn icon clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

deeprobust icon deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

gcnii icon gcnii

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

gnn4nlp-papers icon gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

graph-ter icon graph-ter

An official PyTorch implementation of the CVPR2020 paper "GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations".

pct icon pct

Jittor implementation of PCT:Point Cloud Transformer

pct_pytorch icon pct_pytorch

Pytorch implementation of PCT: Point Cloud Transformer

planetoid icon planetoid

Semi-supervised learning with graph embeddings

point-gnn icon point-gnn

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.

pointflow icon pointflow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

pu-gcn icon pu-gcn

PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks (CVPR2021)

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