XMAHA's Stars
DeepGraphLearning/torchdrug
A powerful and flexible machine learning platform for drug discovery
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
laiguokun/multivariate-time-series-data
ziyujia/GraphSleepNet
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
nnzhan/MTGNN
cszn/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
snap-stanford/GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
lightaime/deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
cyh1112/GraphNormalization
Learning Graph Normalization for Graph Neural Networks
PaddlePaddle/PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
jwwthu/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
flyingdoog/PTDNet
Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
koo-ec/ECDF-based-Distance-Measure
A set of functions for well-known Cumulative Distribution Function (CDF)-based distance measure
SongDark/SpectralClustering
Python implementation of Spectral Clustering.
j2kun/graph-laplacians
Code and data for the post "What's up with Graph Laplacians?"
jwzhanggy/Graph-Bert
Source code of Graph-Bert
Eilene/spatio-temporal-paper-list
Spatio-temporal modeling 论文列表(主要是graph convolution相关)
nnzhan/Graph-WaveNet
graph wavenet
yysijie/st-gcn
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
DeepGraphLearning/GMNN
Graph Markov Neural Networks
HazeDT/WaveletKernelNet
This is the code for WaveletKernelNet.
iMoonLab/HGNN
Hypergraph Neural Networks (AAAI 2019)
ZhaoZhibin/UDTL
Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM
ZhaoZhibin/DL-based-Intelligent-Diagnosis-Benchmark
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
twitter-research/tgn
TGN: Temporal Graph Networks
mengliu1998/DeeperGNN
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
chennnM/GCNII
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
petecheng/Time2Graph
Source codes for Time2Graph model.
pavlin-policar/openTSNE
Extensible, parallel implementations of t-SNE