urbanmobility / CSLSLLinks
PyTorch implementation of the paper-"Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network"
☆12Updated last year
Alternatives and similar repositories for CSLSL
Users that are interested in CSLSL are comparing it to the libraries listed below
Sorting:
- [IEEE TITS 2024] Activity-aware human mobility prediction with hierarchical graph attention recurrent network.☆25Updated last year
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆42Updated 3 years ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆25Updated 2 years ago
- code for paper Multi-View Joint Graph Representation Learning for Urban Region Embedding. (to be updated)☆34Updated 4 years ago
- A Multi-graph Multi-head Adaptive Temporal Graph Convolutional Network☆11Updated 2 years ago
- [KDD 2020 (AI for COVID-19)] Learning to Simulate Human Mobility☆50Updated 4 years ago
- ☆28Updated last year
- Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"☆20Updated 3 years ago
- This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.☆21Updated 3 years ago
- ☆46Updated 3 years ago
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆37Updated 2 years ago
- WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster☆17Updated 2 years ago
- The official implementation of "Activity Trajectory Generation via Modeling Spatiotemporal Dynamics"☆34Updated 2 years ago
- [CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Tra…☆49Updated 3 years ago
- ☆16Updated 3 years ago
- Code accompanying our NeurIPS 2022 traffic4cast challenge☆82Updated 2 years ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆44Updated 3 years ago
- Traffic accident prediction using graph neural networks "TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Net…☆56Updated last year
- The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"☆22Updated 2 years ago
- ☆29Updated 4 months ago
- Taxi Origin-Destination Demand Prediction☆56Updated 5 years ago
- This repo contains the codes and data for our Nature Communications paper: Deep learning resilience inference for complex networked syste…☆62Updated last year
- A collection of research on spatio-temporal data mining☆157Updated last year
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆151Updated last week
- [TRC] PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆17Updated 4 years ago
- ☆11Updated 2 years ago
- Summary of Spatio-Temporal Representation Learning Models.☆79Updated 3 years ago
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆52Updated 8 months ago
- Implementation code for the Time-Aware Location Embedding (TALE) model, proposed in the TKDE paper "Pre-Training Time-Aware Location Embe…☆16Updated last year
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆58Updated 3 years ago