kaist-dmlab / MG-TAR
[IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction
☆56Updated last year
Alternatives and similar repositories for MG-TAR:
Users that are interested in MG-TAR are comparing it to the libraries listed below
- [WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior☆29Updated 3 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated last year
- Implementation of the paper "Context Consistency Regularization for Label Sparsity in Time Series" (ICML'23)☆22Updated last year
- ☆45Updated 2 years ago
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆29Updated last year
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆67Updated 2 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆166Updated last month
- ☆38Updated 2 years ago
- Codes for RiskSeq-TKDE☆20Updated 4 years ago
- Multi-sensor traffic flow forecasting.☆13Updated 2 years ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆74Updated last month
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆21Updated last year
- Traffic Flow Prediction with Vehicle Trajectories☆67Updated 3 years ago
- ☆42Updated 2 years ago
- ☆40Updated 2 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆108Updated last year
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆66Updated 4 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Updated last year
- ☆19Updated 4 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆81Updated 10 months ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆41Updated 3 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆64Updated 6 months ago
- Implementation of Graph Muti-Attention Network with PyTorch☆145Updated last year
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆27Updated last month
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆55Updated 3 months ago
- Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection☆17Updated 2 years ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆40Updated 2 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆42Updated last year
- ☆70Updated 2 years ago
- ☆19Updated 3 years ago