deepkashiwa20 / DL-Traff-Grid
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)
☆54Updated 2 years ago
Alternatives and similar repositories for DL-Traff-Grid:
Users that are interested in DL-Traff-Grid are comparing it to the libraries listed below
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated last year
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆38Updated last week
- ☆49Updated 2 years ago
- Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"☆20Updated 2 years ago
- [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics…☆79Updated last year
- Traffic Flow Prediction with Vehicle Trajectories☆69Updated 4 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- ☆22Updated 6 years ago
- ☆16Updated 2 years ago
- Pytorch Implementation of Urban Flow Magnifier (UrbanFM), KDD-19☆71Updated 4 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆126Updated 10 months ago
- The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"☆33Updated 5 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆115Updated last year
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- Implementation code for the model Diffusion-based Origin-destination Travel Time Estimation (DOT), proposed in the SIGMOD 2024 paper "Ori…☆17Updated 7 months ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆42Updated 4 years ago
- Map-Constrained Trajectory Recovery (KDD'21)☆57Updated 3 years ago
- ☆91Updated 2 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆90Updated 3 years ago
- ☆23Updated 2 years ago
- Source Codes for KDD'19 Paper - DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events☆16Updated 3 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago
- The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques☆28Updated last year
- Reconstruction of DeepST☆103Updated 5 years ago
- Code snippets of ST-ResNet by PyTorch☆65Updated 5 years ago
- Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data☆52Updated 3 years ago
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆26Updated last year
- [AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆66Updated 5 years ago
- Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).☆38Updated 2 years ago
- ☆10Updated 3 years ago