Reproduce - Traffic_prediction - StemGNN(NeurIPS20)
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Updated
Feb 5, 2022 - Python
Reproduce - Traffic_prediction - StemGNN(NeurIPS20)
a novel transformer-based architecture named CSTTN for traffic prediction
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
ALL is a pre-training method based on Federated Meta-Learning and Reinforcement Learning, which is used to address the small-sample issues of parking occupancy prediction.
Algorithm for approximating future green-time for a traffic signal. Based on SSD300 object recognition network.
Recipe Site Traffic Prediction: Utilising machine learning to forecast high traffic recipes on a recipe website. Improve user engagement and traffic with data-driven decisions.
Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.
Master Thesis at ETH Zurich, 2022.
[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
Dynamic Modification Neural Network Model for Short-term Traffic Prediction
[Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
Traffic Flow Prediction with Convolutional Neural Networks (VGG16)
Spatial-Temporal Graph Convolutional Neural Network with LSTM layers
Fast Temporal Wavelet Graph Neural Networks
The code for "Short-term traffic flow prediction in bike sharing networks"
M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore
Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction
Traffic prediction with graph neural network using PyTorch Geometric. The implementation uses the MetaLayer class to build the GNN which allows for separate edge, node and global models.
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