usail-hkust / t-PatchGNN
Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach"
☆89Updated this week
Alternatives and similar repositories for t-PatchGNN:
Users that are interested in t-PatchGNN are comparing it to the libraries listed below
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆49Updated 7 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆94Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆170Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆101Updated 3 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆53Updated last month
- Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts☆48Updated 8 months ago
- UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)☆94Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆165Updated last year
- My personal PyTorch framework for multivariate time series forecasting.☆87Updated last month
- [KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆98Updated last week
- PyTorch implementation of ESG☆81Updated 2 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆87Updated 3 weeks ago
- ☆49Updated 2 months ago
- ☆79Updated 3 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆84Updated 5 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆81Updated 2 years ago
- Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"☆59Updated 5 months ago
- This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…☆92Updated 5 months ago
- ☆106Updated last year
- ☆83Updated last month
- ☆83Updated last year
- [NeurIPS2024] Attractor memory for long-term time series forecasting: A chaos perspective☆15Updated 4 months ago
- Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"☆77Updated 2 months ago
- [AAAI 2025] Official implementation of "xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition"☆42Updated 2 months ago
- Code for DiffSTG☆68Updated last year
- ☆112Updated 3 months ago
- PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [o…☆67Updated 3 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆31Updated last year
- Time Series Forecasting, Distribution Shift☆81Updated last year
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆79Updated 3 months ago