urbanmobility / CSLSL
PyTorch implementation of the paper-"Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network"
☆9Updated 11 months ago
Alternatives and similar repositories for CSLSL:
Users that are interested in CSLSL are comparing it to the libraries listed below
- [TITS 2024] Activity-aware human mobility prediction with hierarchical graph attention recurrent network.☆20Updated last month
- ☆8Updated 3 years ago
- This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.☆21Updated 2 years ago
- Implementation code for the Time-Aware Location Embedding (TALE) model, proposed in the TKDE paper "Pre-Training Time-Aware Location Embe…☆16Updated 5 months ago
- [KDD 2020 (AI for COVID-19)] Learning to Simulate Human Mobility☆46Updated 3 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆31Updated last year
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆20Updated 3 years ago
- The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques☆28Updated last year
- [TRC] Context-aware next location prediction☆41Updated last year
- Map-Constrained Trajectory Recovery (KDD'21)☆56Updated 2 years ago
- Implementation code for the Context and Time-aware Location Embedding (CTLE) model, proposed in the AAAI 2021 paper "Pre-training Context…☆34Updated 5 months ago
- ☆15Updated last year
- WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster☆17Updated 2 years ago
- code for paper Multi-View Joint Graph Representation Learning for Urban Region Embedding. (to be updated)☆32Updated 3 years ago
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆14Updated 2 years ago
- Code of CIKM'22 paper Jointly Contrastive Learning on Road Network and Trajectory☆27Updated 5 months ago
- [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…☆26Updated 8 months ago
- Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"☆20Updated 2 years ago
- The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"☆32Updated 5 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆35Updated 2 years ago
- Code for tasks on Cainiao-LaDe (Last-mile Delivery dataset).☆55Updated 3 months ago
- ☆24Updated 6 months ago
- The official implementation of "Activity Trajectory Generation via Modeling Spatiotemporal Dynamics"☆32Updated last year
- THAN: Multi-Modal Transportation Recommendation with Heterogeneous Graph Attention Networks☆12Updated 3 months ago
- ☆16Updated 2 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆118Updated 8 months ago
- Multi-sensor traffic flow forecasting.☆13Updated 2 years ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆23Updated last year
- PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆15Updated 3 years ago
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆35Updated last year