MiaoHaoSunny / ST-DAAN
Code for paper "Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks"
☆12Updated 3 years ago
Alternatives and similar repositories for ST-DAAN:
Users that are interested in ST-DAAN are comparing it to the libraries listed below
- ☆49Updated 2 years ago
- ☆71Updated 2 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆43Updated last year
- Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection☆17Updated 2 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆82Updated 11 months ago
- ☆14Updated last year
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆41Updated 3 years ago
- ☆64Updated 3 years ago
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆26Updated last year
- Multi-sensor traffic flow forecasting.☆13Updated 2 years ago
- ☆47Updated 2 years ago
- ☆43Updated 2 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆112Updated last year
- ☆38Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆106Updated 3 years ago
- ☆40Updated 2 years ago
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆30Updated last year
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆40Updated 2 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆66Updated 8 months ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated last year
- PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆15Updated 3 years ago
- ☆14Updated 2 years ago
- ☆42Updated 2 years ago
- [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction☆16Updated last year
- Pytorch Implementation of DeepLGR, ECML-PKDD-20☆10Updated 4 years ago
- ☆14Updated 3 years ago
- ☆76Updated last year
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆52Updated 2 years ago
- ☆16Updated 2 years ago