ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
☆31Jun 14, 2024Updated 2 years ago
Alternatives and similar repositories for ForecastGrapher
Users that are interested in ForecastGrapher are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆38Dec 25, 2024Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆220Feb 11, 2024Updated 2 years ago
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆15Jan 3, 2025Updated last year
- ☆19Sep 4, 2023Updated 2 years ago
- Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework…☆35May 12, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆10Dec 17, 2024Updated last year
- MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting☆13Apr 27, 2024Updated 2 years ago
- ☆80Feb 14, 2025Updated last year
- ☆17Mar 18, 2026Updated 3 months ago
- Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".☆91Mar 29, 2024Updated 2 years ago
- ☆52Aug 6, 2025Updated 11 months ago
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆16May 3, 2025Updated last year
- [KDD 2024] CAFO: Feature-Centric Explanation on Time Series Classification☆15Jun 17, 2024Updated 2 years ago
- SimAD, deep learning, anomaly detection, outlier detection, time series, TNNLS, 2025. "SimAD: A Simple Dissimilarity-based Approach for T…☆33Jan 19, 2026Updated 5 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆20Nov 22, 2024Updated last year
- [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …☆15Jul 3, 2025Updated last year
- [ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection☆40Jul 26, 2024Updated last year
- [ICML'24] Official PyTorch Implementation of TimeX++☆31Nov 6, 2024Updated last year
- [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.☆20Oct 23, 2024Updated last year
- [AAAI'25] The implementation of paper "Federated Foundation Models on Heterogeneous Time Series" | The first work to explore time series …☆24May 10, 2026Updated last month
- State-of-art Foundational Time-series models☆35Jun 22, 2026Updated last week
- ☆25Nov 11, 2025Updated 7 months ago
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆31Aug 28, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆27Dec 31, 2021Updated 4 years ago
- Source code of FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting☆14Mar 6, 2024Updated 2 years ago
- Official implmentation of AAAI'23 paper 'Detecting Multivariate Time Series Anomalies with Zero Known Label'.☆78Jul 26, 2024Updated last year
- Official implementation for "CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting" (I…☆27May 6, 2025Updated last year
- MA-VAE: Multi-head attention-based variational autoencoder approach for anomaly detection in multivariate time-series applied to automoti…☆11May 28, 2024Updated 2 years ago
- This is an implementation of a traffic speed predicition model.☆10Oct 27, 2022Updated 3 years ago
- 多变量时序预测transformer☆17Sep 13, 2022Updated 3 years ago
- Official implementation of TGTSF in "Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues"☆46Apr 22, 2025Updated last year
- Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning☆14Nov 21, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆33Apr 13, 2025Updated last year
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆249Feb 22, 2024Updated 2 years ago
- Understand what physics/algorithms do transformers learn internally when trained on planetary motion☆43Feb 9, 2026Updated 4 months ago
- A multi-task learning method for multi-energy load forecasting based on synthesis correlation analysis and load participation factor☆13Aug 18, 2023Updated 2 years ago
- ☆47Dec 16, 2023Updated 2 years ago
- This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal C…☆98Sep 11, 2024Updated last year
- SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning☆14Feb 16, 2023Updated 3 years ago