shengchaochen82 / MetePFL
[IJCAI'23] Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.
☆14Updated last month
Related projects ⓘ
Alternatives and complementary repositories for MetePFL
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆24Updated last year
- ☆24Updated 4 months ago
- This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…☆93Updated 7 months ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆31Updated 2 months ago
- [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation☆32Updated 4 months ago
- use federated learning to predict building energy consumption☆14Updated 3 years ago
- Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing☆22Updated 3 months ago
- INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging☆13Updated last year
- Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"☆48Updated 9 months ago
- UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)☆74Updated 8 months ago
- ☆7Updated last year
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆73Updated 2 years ago
- Repository for "FreDF: Learning to Forecast in the Transformed Domain"☆67Updated 4 months ago
- ☆48Updated 5 months ago
- Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework…☆20Updated 3 months ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆54Updated last year
- ☆65Updated 2 months ago
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆14Updated 5 months ago
- Time Series Contrastive Learning with Information-Aware Augmentations (Code)☆15Updated last year
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆40Updated last year
- Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.☆17Updated 7 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆31Updated 2 weeks ago
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆14Updated 2 months ago
- ☆42Updated 2 years ago
- Neural Time Series Analysis with Fourier Transform: A Survey☆23Updated last year
- See the official code and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models"☆7Updated 2 months ago
- [NeurIPS 2024] Official implementation of the paper "Are Self-Attentions Effective for Time Series Forecasting?"☆10Updated this week
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆42Updated 8 months ago
- PatchAD, deep learning, anomaly detection, outlier detection, time series, PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series A…☆22Updated 3 months ago
- ☆26Updated 3 months ago