MQ-Hu's Stars
twitter-research/tgn
TGN: Temporal Graph Networks
snap-stanford/roland
IBM/EvolveGCN
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
chnsh/DCRNN_PyTorch
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
benedekrozemberczki/GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
GestaltCogTeam/D2STGNN
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
liangzhehan/DMSTGCN
SpikeApp/Spike
Get The Most Out Of Your CGM Transmitter
zhbink/2017-IndustryBigData
2017工业大数据 风机叶片预测
oneday88/deepTCN
hichenway/stock_predict_with_LSTM
Predict stock with LSTM supporting pytorch, keras and tensorflow
automan000/Convolutional_LSTM_PyTorch
Multi-layer convolutional LSTM with Pytorch
loliverhennigh/Convolutional-LSTM-in-Tensorflow
An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
tangxianfeng/STDN
Code for our Spatiotemporal Dynamic Network
xiaoxiong74/TrafficFlowForecasting
Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
Mjrovai/OpenCV-Object-Face-Tracking
Tracking objects and Face with OpenCV and Python
VincLee8188/GMAN-PyTorch
Implementation of Graph Muti-Attention Network with PyTorch
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
guokan987/HGCN
The code of AAAI2021 paper of HGCN for Traffic Forecasting
jiangqn/GCN-GAN-pytorch
A pytorch implemention of GCN-GAN for temporal link prediction.
jbdj-star/st
guokan987/DGCN
The pytorch code of DGCN(TITS)
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
snehasinghania/STResNet
A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081
tsinghua-fib-lab/Traffic-Benchmark
woniudiancang/bee
微信小程序-餐饮点餐外卖-开箱即用
philipperemy/keras-attention
Keras Attention Layer (Luong and Bahdanau scores).
uhauha2929/examples
aprbw/traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
FelixOpolka/STGCN-PyTorch
🚗 Implementation of spatio-temporal graph convolutional network with PyTorch