Graph-Machine-Learning-Group / taming-local-effects-stgnns
Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)
☆19Updated last year
Alternatives and similar repositories for taming-local-effects-stgnns:
Users that are interested in taming-local-effects-stgnns are comparing it to the libraries listed below
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆10Updated 6 months ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆46Updated last year
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆12Updated 6 months ago
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆18Updated 5 months ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆43Updated 5 months ago
- Spatial-Temporal Graph ODE Neural Network☆104Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆111Updated last year
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆52Updated last year
- The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》☆20Updated 4 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆78Updated 2 years ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆79Updated 3 months ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆55Updated 3 months ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆153Updated last year
- ☆23Updated last year
- Official repository for the paper "Sparse Graph Learning from Spatiotemporal Time Series" (JMLR 2023)☆15Updated last year
- ☆19Updated 3 years ago
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆61Updated last year
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆29Updated last month
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆65Updated 7 months ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆19Updated 10 months ago
- ☆17Updated 2 years ago
- ☆46Updated 2 years ago
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆17Updated 5 months ago
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆54Updated last month
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆140Updated 5 months ago
- [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…☆26Updated 7 months ago
- ☆15Updated last year
- ☆11Updated 3 months ago
- ☆13Updated last year
- ☆14Updated 2 years ago