andreacini / higpLinks
Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)
☆22Updated last year
Alternatives and similar repositories for higp
Users that are interested in higp are comparing it to the libraries listed below
Sorting:
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆88Updated 3 years ago
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆22Updated 8 months ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆50Updated 2 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆173Updated 3 years ago
- tsl: a PyTorch library for processing spatiotemporal data.☆363Updated last month
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Updated 9 months ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆133Updated last year
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆62Updated 2 years ago
- Awesome Time-Series and Spatio-Temporal Related☆106Updated 2 years ago
- My personal PyTorch framework for multivariate time series forecasting.☆98Updated 3 weeks ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆235Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆67Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆76Updated 4 months ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆106Updated 8 months ago
- Spatial-Temporal Graph ODE Neural Network☆120Updated 3 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆84Updated 6 months ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆210Updated 3 weeks ago
- ☆11Updated last year
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆37Updated 2 years ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆120Updated last week
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆162Updated last year
- PyTorch implementation of CaST, NeurIPS-23.☆39Updated 6 months ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆252Updated 2 years ago
- ☆124Updated last year
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆21Updated 3 years ago
- ☆24Updated 6 months ago
- ☆91Updated 2 years ago
- The official implementation of SDGL☆36Updated last year
- The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.☆37Updated 3 months ago
- ☆19Updated 3 years ago