kaist-dmlab / DF-TAR
[WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
☆28Updated 3 years ago
Alternatives and similar repositories for DF-TAR:
Users that are interested in DF-TAR are comparing it to the libraries listed below
- [IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction☆56Updated last year
- Implementation of the paper "Context Consistency Regularization for Label Sparsity in Time Series" (ICML'23)☆22Updated last year
- ☆12Updated 2 years ago
- Repository for the paper, "Exploiting Representation Curvature for Boundary Detection in Time Series" accepted at NeurIPS 2024☆19Updated 3 months ago
- Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping☆34Updated 2 years ago
- TensorSparkML brings scalable in-memory machine learning to TensorFlow on Apache Spark clusters.☆18Updated last year
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated last year
- ☆20Updated 5 years ago
- ☆14Updated 7 years ago
- TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data☆27Updated 3 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆173Updated 3 months ago
- Codes for RiskSeq-TKDE☆20Updated 4 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- ☆13Updated 8 years ago
- ☆16Updated 6 years ago
- ☆16Updated 5 years ago
- ☆13Updated 2 years ago
- ☆17Updated 8 years ago
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆31Updated last year
- Traffic Flow Prediction with Vehicle Trajectories☆68Updated 4 years ago
- ☆27Updated 2 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆41Updated 3 years ago
- The official code for "Spatial temporal transformer networks for traffic flow forecasting"☆95Updated 3 years ago
- ☆47Updated 2 years ago
- ☆38Updated 3 years ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆41Updated 2 years ago
- Implementation code for the model Diffusion-based Origin-destination Travel Time Estimation (DOT), proposed in the SIGMOD 2024 paper "Ori…☆16Updated 6 months ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆70Updated 2 years ago
- ☆19Updated 3 years ago
- ☆24Updated last year