This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"
☆12Nov 23, 2022Updated 3 years ago
Alternatives and similar repositories for CCHMM
Users that are interested in CCHMM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆44Jan 27, 2023Updated 3 years ago
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆26Sep 2, 2025Updated 11 months ago
- ☆14Mar 12, 2025Updated last year
- ☆18May 9, 2025Updated last year
- Official repository of paper "Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction".☆15Nov 21, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The code of MultiSPANS.☆12Oct 20, 2023Updated 2 years ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆22Apr 21, 2024Updated 2 years ago
- The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).☆11Mar 10, 2023Updated 3 years ago
- [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …☆15Jul 3, 2025Updated last year
- ☆30Nov 15, 2018Updated 7 years ago
- Code for CIKM'23 "Cross-city Few-shot Traffic Forecasting via Traffic Pattern Bank"☆23Aug 12, 2023Updated 3 years ago
- This is a PyTorch implementation of STGAGRTN in the Spatial-Temporal Graph Attention Gated Recurrent Transformer Network for Traffic Flow…☆20Apr 10, 2024Updated 2 years ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Feb 23, 2024Updated 2 years ago
- ☆57Jun 24, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆42Sep 2, 2025Updated 11 months ago
- This repository is the code implementing some classic algorithms in co-location pattern minning.☆13May 9, 2014Updated 12 years ago
- HSTGODE code☆11Nov 26, 2023Updated 2 years ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆242Nov 15, 2025Updated 9 months ago
- ☆11Dec 22, 2024Updated last year
- Download and view subway ridership data for BART (Bay Area) and MTA (New York City)☆10Dec 9, 2022Updated 3 years ago
- ☆10Jun 17, 2023Updated 3 years ago
- ☆13Jun 27, 2024Updated 2 years ago
- PyTorch implementation of CaST, NeurIPS-23.☆43Aug 8, 2026Updated 3 weeks ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Causal Inference for Time Series Data (with CausalML Demo)☆14Jun 11, 2023Updated 3 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆87Jul 19, 2025Updated last year
- ☆12Apr 10, 2025Updated last year
- ☆12Oct 17, 2023Updated 2 years ago
- ☆12Oct 11, 2025Updated 10 months ago
- The code for HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting☆27Apr 28, 2026Updated 4 months ago
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆67Aug 3, 2023Updated 3 years ago
- ☆29May 16, 2023Updated 3 years ago
- An offical implementation of STDN: "Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting." (AAAI 202…☆42Jan 16, 2026Updated 7 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆100Jul 18, 2022Updated 4 years ago
- Code for ECMLPKDD'23 "FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph"☆12Jul 24, 2023Updated 3 years ago
- GCT-TTE algorithm & dedicated application☆10Jan 14, 2024Updated 2 years ago
- Source code for "Scalable Transformer for High Dimensional Multivariate Time Series Forecasting" (Accepted by CIKM-24)☆19Jan 13, 2025Updated last year
- ☆48Sep 2, 2022Updated 3 years ago
- Used for onset picking☆11Oct 14, 2019Updated 6 years ago
- Develop a deep learning model capable of predicting traffic flow in urban environments. The model will utilize historical traffic data, w…☆23Oct 1, 2024Updated last year