CausalRivers / causalriversLinks
The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.
☆34Updated 2 months ago
Alternatives and similar repositories for causalrivers
Users that are interested in causalrivers are comparing it to the libraries listed below
Sorting:
- Causal Neural Nerwork☆139Updated last month
- Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).☆22Updated 3 months ago
- Official repo to paper☆13Updated 2 years ago
- ☆14Updated 3 months ago
- ☆24Updated 5 months ago
- ☆43Updated last year
- ☆90Updated 2 years ago
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆19Updated last year
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆119Updated 7 months ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆81Updated 3 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆67Updated last year
- Causal discovery for time series☆102Updated 3 years ago
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆28Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆75Updated 4 months ago
- ☆32Updated last year
- TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…☆55Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆95Updated last year
- [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting☆32Updated 3 months ago
- ☆171Updated 10 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆35Updated 2 years ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆73Updated 9 months ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆62Updated 2 years ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆127Updated 4 months ago
- PyTorch Implementation of CausalFormer: An Interpretable Transformer for Temporal Causal Discovery☆73Updated 7 months ago
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆48Updated 6 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆87Updated 3 years ago
- ☆38Updated 5 months ago
- PyTorch implementation of CaST, NeurIPS-23.☆39Updated 5 months ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆171Updated 3 years ago
- This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…☆122Updated 11 months ago