LibCity: An Open Library for Urban Spatial-temporal Data Mining
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Updated
Nov 14, 2024 - Python
LibCity: An Open Library for Urban Spatial-temporal Data Mining
[CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
A collection of research on spatio-temporal data mining
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
Fast Temporal Wavelet Graph Neural Networks (NeurIPS 2023)
Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.
🌎 🚙📚 Predicting travel times and traffic density on a highway in Slovenia
[Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
Here is a time series analysis using R and Arima models to predict air traffic for Hong Kong Airport.
Paper list in traffic prediction field
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)
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
Welcome to quote our published papers, and the codes have been uploaded.
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore
Pedestrians destination prediction
Using transfer learning for indirect estimation of network-wide traffic flows from link speeds
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