kaist-dmlab / DF-TAR
[WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
☆27Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for DF-TAR
- [IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction☆50Updated last year
- Implementation of the paper "Context Consistency Regularization for Label Sparsity in Time Series" (ICML'23)☆21Updated last year
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆27Updated last year
- ☆12Updated last year
- ☆13Updated last year
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆24Updated last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆148Updated 4 months ago
- ☆36Updated 2 years ago
- ☆42Updated 2 years ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆40Updated last year
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆28Updated 9 months ago
- [CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Tra…☆43Updated last year
- TensorSparkML brings scalable in-memory machine learning to TensorFlow on Apache Spark clusters.☆18Updated last year
- ☆48Updated 2 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆40Updated last year
- Repository for the paper, "Exploiting Representation Curvature for Boundary Detection in Time Series" accepted at NeurIPS 2024☆13Updated this week
- ☆39Updated 2 years ago
- Implementation code for the model Diffusion-based Origin-destination Travel Time Estimation (DOT), proposed in the SIGMOD 2024 paper "Ori…☆15Updated last month
- Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping☆34Updated last year
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆64Updated 2 years ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆25Updated 8 months ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆106Updated 10 months ago
- [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction☆14Updated 10 months ago
- Multi-sensor traffic flow forecasting.☆12Updated 2 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆127Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆61Updated 3 years ago
- Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection☆17Updated last year
- ☆39Updated 2 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆66Updated 4 years ago
- Codes and data for the paper "Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea", KD…☆34Updated last year