andreacini / higpLinks
Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)
☆17Updated 10 months ago
Alternatives and similar repositories for higp
Users that are interested in higp are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆20Updated 2 months ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆12Updated 3 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆83Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆111Updated 3 years ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆46Updated last year
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆57Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆52Updated 9 months ago
- Awesome Time-Series and Spatio-Temporal Related☆95Updated last year
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆117Updated last year
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆19Updated last month
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆22Updated 9 months ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆164Updated 2 years ago
- ☆19Updated 3 years ago
- Code for DiffSTG☆71Updated last year
- My personal PyTorch framework for multivariate time series forecasting.☆91Updated 3 months ago
- ☆10Updated last year
- ☆19Updated 2 weeks ago
- ☆83Updated last year
- Official repo to paper☆12Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆25Updated last month
- An offical implementation of STDN: "Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting." (AAAI 202…☆16Updated 3 weeks ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆63Updated 3 weeks ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆178Updated last year
- tsl: a PyTorch library for processing spatiotemporal data.☆334Updated 2 months ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 10 months ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆90Updated 2 months ago
- ☆47Updated 3 years ago
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆16Updated 2 years ago
- [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…☆28Updated 10 months ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago