ZJU-TSELab / MoGERNNLinks
The repo is the official implementation for the paper: MoGERNN: An Inductive Traffic Predictor for Unobserved Locations.
☆18Updated 6 months ago
Alternatives and similar repositories for MoGERNN
Users that are interested in MoGERNN are comparing it to the libraries listed below
Sorting:
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆271Updated 2 years ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆256Updated 2 years ago
- Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"☆142Updated last week
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆136Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆76Updated 4 months ago
- ☆28Updated last year
- ☆67Updated 3 years ago
- Spatio-Temporal Prediction Paper List☆255Updated 7 months ago
- ☆77Updated 2 years ago
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆40Updated 3 months ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆73Updated 2 weeks ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆189Updated 3 years ago
- ☆40Updated 3 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆195Updated last year
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆247Updated 4 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆48Updated 2 years ago
- The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting☆15Updated last year
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆158Updated 5 years ago
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆21Updated 3 months ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Updated last year
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆135Updated last year
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Updated 2 years ago
- ☆13Updated 7 months ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆84Updated 7 months ago
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆49Updated 7 months ago
- ☆21Updated last year
- Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).☆40Updated 3 years ago
- ☆40Updated 2 years ago
- An Open Source Spatio-Temporal Prediction Package☆220Updated last year
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆234Updated 2 years ago