yuruotao / NZ_datasetLinks
☆19Updated 4 months ago
Alternatives and similar repositories for NZ_dataset
Users that are interested in NZ_dataset are comparing it to the libraries listed below
Sorting:
- ☆123Updated 2 years ago
- Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)☆23Updated 8 months ago
- Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).☆40Updated 2 years ago
- The data and codes corresponding to the paper "Evaluation and prediction of transportation resilience under extreme weather events: A dif…☆19Updated 5 years ago
- ☆13Updated 3 years ago
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆44Updated 3 months ago
- MSTGAN is an innovative method designed for multi-station urban air quality prediction, which fully considers the individual, global, and…☆18Updated last year
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆33Updated 5 years ago
- ☆13Updated 5 months ago
- Graph neural networks for state estimation in water distribution systems☆35Updated 3 years ago
- ☆14Updated 7 months ago
- multi-objective optimization, single-objective optimization and reinforcement learning in the field of ensemble learning and time series …☆24Updated last year
- [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022☆57Updated 2 years ago
- Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction☆19Updated 2 years ago
- The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"☆22Updated 2 years ago
- Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs☆25Updated last year
- A hydraulic surrogate model and real-time control methods of urban drainage networks.☆25Updated 2 weeks ago
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆33Updated 3 years ago
- 利用已有的地铁流量历史数据建立模型,实现数据间存在的关联,为该城市未来一天的地铁流量进行一个较为准确的预测☆27Updated 6 years ago
- PyTorch implementation of AirFormer, AAAI-23☆140Updated 2 years ago
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆20Updated 9 months ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated 2 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆48Updated 2 years ago
- RiccardoSpolaor / Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-ForecastingAn eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.☆20Updated last year
- Urban Dynamics Through the Lens of Human Mobility☆17Updated 2 years ago
- ☆15Updated 2 years ago
- SATCN for Kriging☆16Updated 3 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆135Updated last year
- Code for DiffSTG☆73Updated last year
- Using to predict the highway traffic speed☆34Updated 5 months ago