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Update AAAI 2024
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lixus7 authored Jun 14, 2024
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| :-: | :-: | :-: | :-: | :-: | - |
| Paper Nums:100+ | <img width=150/> | <img width=220/> | | | <img width=300/> |
| Multivariable | Electricity <br> PEMSD7M <br> BikeNYC <br> [TimesNet_data](https://github.com/thuml/Time-Series-Library) | SCNN | [Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting](https://ieeexplore.ieee.org/document/10457027) | [Pytorch](https://github.com/JLDeng/SCNN) <br>![Stars](https://img.shields.io/github/stars/JLDeng/SCNN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/JLDeng/SCNN?color=critical&style=social) | TKDE 2024
| Multivariable | Ross <br> Saratoga <br> UpperPen <br> SFC | DAN | [Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/27768) | [Pytorch](https://github.com/davidanastasiu/dan) <br>![Stars](https://img.shields.io/github/stars/davidanastasiu/dan?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/davidanastasiu/dan?color=critical&style=social) | AAAI 2024
| Multivariable | ILI <br> Weather <br> Traffic <br> Electricity <br> ETT <br> Exchange | HDMixer | [HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/29155) | [Pytorch](https://github.com/hqh0728/HDMixer) <br>![Stars](https://img.shields.io/github/stars/hqh0728/HDMixer?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/hqh0728/HDMixer?color=critical&style=social) | AAAI 2024
| Multivariable | PEMS03 <br> PEMS04 <br> PEMS07 <br> PEMS08 <br> England <br> TaxiBJ <br> PEMS-BAY | STPGNN | [Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/28707) | None | AAAI 2024
| Multivariable | FD001 <br> FD002 <br> FD003 <br> FD004 | FC-STGNN | [Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data](https://ojs.aaai.org/index.php/AAAI/article/view/29500) | [Pytorch](https://github.com/Frank-Wang-oss/FCSTGNN) <br>![Stars](https://img.shields.io/github/stars/Frank-Wang-oss/FCSTGNN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Frank-Wang-oss/FCSTGNN?color=critical&style=social) | AAAI 2024
| Multivariable | PEMS04 <br> PEMS08 <br> blockchain | TMP-Nets | [Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence](https://ojs.aaai.org/index.php/AAAI/article/view/29051) | None | AAAI 2024
| Multivariable | METR-LA <br> PEMS-BAY | ModWaveMLP | [ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/28753) | [TF](https://github.com/Kqingzheng/ModWaveMLP) <br>![Stars](https://img.shields.io/github/stars/Kqingzheng/ModWaveMLP?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Kqingzheng/ModWaveMLP?color=critical&style=social) | AAAI 2024
| Multivariable |Flight <br> Weather <br> ETT <br> Electricity <br> Exchange | MSGNet | [MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/28991) | [Pytorch](https://github.com/YoZhibo/MSGNet) <br>![Stars](https://img.shields.io/github/stars/YoZhibo/MSGNet?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/YoZhibo/MSGNet?color=critical&style=social) | AAAI 2024
| Multivariable | Self-PeMS | DLF | [Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective](https://ojs.aaai.org/index.php/AAAI/article/view/28759) | [Pytorch](https://github.com/wangbinwu13116175205/DLF) <br>![Stars](https://img.shields.io/github/stars/wangbinwu13116175205/DLF?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/wangbinwu13116175205/DLF?color=critical&style=social) | AAAI 2024
| Multivariable |ETT <br> Weather <br> ILI <br> Exchange | HTV-Trans | [Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/29483) | [Pytorch](https://github.com/flare200020/HTV_Trans) <br>![Stars](https://img.shields.io/github/stars/flare200020/HTV_Trans?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/flare200020/HTV_Trans?color=critical&style=social) | AAAI 2024
| Multivariable |A-share <br> Cross-Market <br> ETT | ST-DAN| [Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/29661) | [Pytorch](https://github.com/Zhu-JP/AMPIF) <br>![Stars](https://img.shields.io/github/stars/Zhu-JP/AMPIF?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Zhu-JP/AMPIF?color=critical&style=social) | AAAI 2024
| Irregular |USHCN <br> MIMIC-III <br> MIMIC-IV <br> Physionet-12 | GraFITi | [GraFITi: Graphs for Forecasting Irregularly Sampled Time Series](https://ojs.aaai.org/index.php/AAAI/article/view/29560) | [Pytorch](https://github.com/yalavarthivk/GraFITi) <br>![Stars](https://img.shields.io/github/stars/yalavarthivk/GraFITi?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/yalavarthivk/GraFITi?color=critical&style=social) | AAAI 2024
| Multivariable | ETT <br> Electricity <br> Traffic <br> Weather <br> Exchange | U-Mixer | [U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/29337) | None | AAAI 2024
| Multivariable | Solar <br> Wiki <br> Traffic <br> ECG <br> Electricity <br> COVID-19 <br> Weather <br> ETT | FreTS | [Frequency-domain MLPs are More Effective Learners in Time Series Forecasting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/f1d16af76939f476b5f040fd1398c0a3-Abstract-Conference.html) | [Pytorch](https://github.com/aikunyi/FreTS) <br>![Stars](https://img.shields.io/github/stars/aikunyi/FreTS?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/aikunyi/FreTS?color=critical&style=social) | NIPS 2023
| LLM4TS <br> Zero Shot | Darts <br> Monash <br> Informer | - | [Large Language Models Are Zero-Shot Time Series Forecasters](https://proceedings.neurips.cc/paper_files/paper/2023/hash/3eb7ca52e8207697361b2c0fb3926511-Abstract-Conference.html) | [LLM](https://github.com/ngruver/llmtime) <br>![Stars](https://img.shields.io/github/stars/ngruver/llmtime?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/ngruver/llmtime?color=critical&style=social) | NIPS 2023
| Zero Shot | ECL <br>ETT <br> Exchange <br> ILI <br> Traffic <br> Weather | ForecastPFN | [ForecastPFN: Synthetically-Trained Zero-Shot Forecasting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/0731f0e65559059eb9cd9d6f44ce2dd8-Abstract-Conference.html) | [TF](https://github.com/abacusai/forecastpfn) <br>![Stars](https://img.shields.io/github/stars/abacusai/forecastpfn?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/abacusai/forecastpfn?color=critical&style=social) | NIPS 2023
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| Task | Data | Model | Paper | Code | Publication |
| :-: | :-: | :-: | :-: | :-: | - |
| Paper Nums:40+ | <img width=150/> | <img width=220/> | | | <img width=300/> |
| probability | Solar <br> Electricity <br> Traffic <br> Taxi <br> Wikipedia | LDT | [ Latent Diffusion Transformer for Probabilistic Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/29085) | None | AAAI 2024
| probability | Solar <br> Electricity <br> Traffic <br> Exchange <br> M4-Hourly <br> UberTLC <br> KDDCup <br> Wikipedia | TSDiff | [Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/5a1a10c2c2c9b9af1514687bc24b8f3d-Abstract-Conference.html) | [GluonTS](https://github.com/amazon-science/unconditional-time-series-diffusion) <br>![Stars](https://img.shields.io/github/stars/amazon-science/unconditional-time-series-diffusion?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/amazon-science/unconditional-time-series-diffusion?color=critical&style=social) | NIPS 2023
| Quantile | Electricity <br> Kaggle <br> M4-daily <br> Traffic <br> Wiki | Ensemble | [Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting](https://proceedings.mlr.press/v202/hasson23a.html) | None | ICML 2023
| Quantile | Boston <br> Concrete <br> kin8nm <br> Power <br> Protein <br> Wine <br> M5 | BVAE | [Neural Spline Search for Quantile Probabilistic Modeling](https://ojs.aaai.org/index.php/AAAI/article/view/26184) | None | AAAI 2023
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| Task | Data | Model | Paper | Code | Publication |
| :-: | :-: | :-: | :-: | :-: | - |
| Paper Nums: 30+ | <img width=90/> | | | | <img width=320/> |
| Anomaly Detection | SWaT <br> WADI <br> PSM <br> SMD <br> MSL <br> SMAP <br> Crediy <br> Yahoo | | [When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection](https://ojs.aaai.org/index.php/AAAI/article/view/29210) | [Pytorch](https://github.com/ForestsKing/D3R) <br>![Stars](https://img.shields.io/github/stars/ForestsKing/D3R?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/ForestsKing/D3R?color=critical&style=social) | AAAI 2024
| Anomaly Detection | SMD <br> MSL <br> SMAP <br> SWaT <br> PSM | MEMTO | [MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection](https://proceedings.neurips.cc/paper_files/paper/2023/hash/b4c898eb1fb556b8d871fbe9ead92256-Abstract-Conference.html) | No | NIPS 2023
| Anomaly Detection | PSM <br> SMD <br> SWaT | D3R | [Drift doesn’t Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection](https://proceedings.neurips.cc/paper_files/paper/2023/hash/22f5d8e689d2a011cd8ead552ed59052-Abstract-Conference.html) | [Pytorch](https://github.com/ForestsKing/D3R) <br>![Stars](https://img.shields.io/github/stars/ForestsKing/D3R?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/ForestsKing/D3R?color=critical&style=social) | NIPS 2023
| Anomaly Detection |SWaT <br> WADI <br> PSM <br> MSL <br> SMD <br> trimSyn | Framework | [Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction](https://proceedings.neurips.cc/paper_files/paper/2023/hash/22f5d8e689d2a011cd8ead552ed59052-Abstract-Conference.html) | [Pytorch](https://github.com/andrewlai61616/NPSR) <br>![Stars](https://img.shields.io/github/stars/andrewlai61616/NPSR?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/andrewlai61616/NPSR?color=critical&style=social) | NIPS 2023
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| Task | Data | Model | Paper | Code | Publication |
| :-: | :-: | :-: | :-: | :-: | - |
| Paper Nums:30+ | <img width=150/> | <img width=220/> | | | <img width=300/> |
| Stock Price <br> Prediction | NASDAQ <br> NYSE <br> S&P500 | StockMixer | [StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/28681) | [Pytorch](https://github.com/SJTU-Quant/StockMixer) <br>![Stars](https://img.shields.io/github/stars/SJTU-Quant/StockMixer?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/SJTU-Quant/StockMixer?color=critical&style=social) | AAAI 2024
| Stock Price <br> Prediction | CSI 300 <br> CSI 800 | MASTER | [MASTER: Market-Guided Stock Transformer for Stock Price Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/27767) | [Pytorch](https://github.com/SJTU-Quant/MASTER) <br>![Stars](https://img.shields.io/github/stars/SJTU-Quant/MASTER?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/SJTU-Quant/MASTER?color=critical&style=social) | AAAI 2024
| Stock Movement <br> Prediction | Qin <br> MAEC | ECHO-GL | [ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/29305) | [Pytorch](https://github.com/pupu0302/ECHOGL) <br>![Stars](https://img.shields.io/github/stars/pupu0302/ECHOGL?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/pupu0302/ECHOGL?color=critical&style=social) | AAAI 2024
| Stock Trend <br> Prediction | CSI 300 <br> CSI 500 | DoubleAdapt | [DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting](https://doi.org/10.1145/3580305.3599315) | [Pytorch](https://github.com/SJTU-Quant/DoubleAdapt) <br>![Stars](https://img.shields.io/github/stars/SJTU-Quant/DoubleAdapt?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/SJTU-Quant/DoubleAdapt?color=critical&style=social) | KDD 2023
| Stock Movement <br> Prediction | ACL18 <br> DJIA | PEN | [PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability](https://ojs.aaai.org/index.php/AAAI/article/view/25648) | [TF](https://github.com/Shuqi-li/PEN) <br>![Stars](https://img.shields.io/github/stars/Shuqi-li/PEN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Shuqi-li/PEN?color=critical&style=social) | AAAI 2023
| Stock <br> Prediction | NASDAQ <br> NYSE <br> CSI | RT-GCN | [Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction](https://ieeexplore.ieee.org/document/10184655) | [Pytorch](https://github.com/zhengzetao/RTGCN) <br>![Stars](https://img.shields.io/github/stars/zhengzetao/RTGCNt?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/zhengzetao/RTGCN?color=critical&style=social) | ICDE 2023
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