ACAT-SCUT / TQNetLinks
[ICML 2025] Official repository of the TQNet paper: "Temporal Query Network for Efficient Multivariate Time Series Forecasting". This work is developed by the Lab of Professor Weiwei Lin (linww@scut.edu.cn), South China University of Technology; Pengcheng Laboratory.
☆37Updated last month
Alternatives and similar repositories for TQNet
Users that are interested in TQNet are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆58Updated 3 months ago
- ☆30Updated 6 months ago
- An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (IC…☆63Updated 5 months ago
- ☆22Updated 10 months ago
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆47Updated 2 weeks ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆92Updated 10 months ago
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆56Updated 4 months ago
- A novel time series forecasting method, Times2D, transforms 1D data into 2D space using multi-period decomposition and derivative heatmap…☆22Updated 3 months ago
- Code and logs for Paper：Revisiting Attention for Multivariate Time Series Forecasting☆23Updated 11 months ago
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆79Updated last year
- [ICML 2025] Official PyTorch implementation of the paper: TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Seri…☆83Updated last week
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆104Updated last year
- [ICLR 2024] Official code of RobustTSF☆20Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆121Updated 6 months ago
- ☆60Updated 5 months ago
- ☆45Updated last year
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆17Updated last year
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆39Updated 6 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆84Updated 6 months ago
- The official repository of the PRformer paper: "PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting." This…☆45Updated 8 months ago
- ☆95Updated last month
- [AAAI 2025] Official implementation of "xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition"☆71Updated 3 months ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆46Updated 2 years ago
- ☆35Updated 11 months ago
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆33Updated 11 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆32Updated last year
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆87Updated 8 months ago
- TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…☆50Updated 10 months ago
- ☆60Updated 5 months ago
- The code for FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting☆18Updated 2 months ago