| A Review of Graph Neural Networks and Their Applications in Power Systems | Jan 25, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting | Dec 15, 2022 | DecoderSaliency Detection | CodeCode Available | 1 |
| Recurrent Neural Networks for Multivariate Time Series with Missing Values | Jun 6, 2016 | ImputationMissing Values | CodeCode Available | 1 |
| Recursive Gaussian Process State Space Model | Nov 22, 2024 | Computational EfficiencyHyperparameter Optimization | CodeCode Available | 1 |
| CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations | May 25, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Sparse Graph Learning from Spatiotemporal Time Series | May 26, 2022 | Graph LearningInductive Bias | CodeCode Available | 1 |
| Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting | Sep 14, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction | Dec 28, 2023 | RetrievalTime Series | CodeCode Available | 1 |
| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | Jul 6, 2020 | Graph GenerationGraph Neural Network | CodeCode Available | 1 |
| CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting | Jun 8, 2024 | AttributeMamba | CodeCode Available | 1 |
| Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction | May 9, 2023 | Graph AttentionGraph Neural Network | CodeCode Available | 1 |
| Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution | Mar 9, 2020 | AttributeKnowledge Graphs | CodeCode Available | 1 |
| AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly | May 22, 2021 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 1 |
| Conformal PID Control for Time Series Prediction | Jul 31, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales | Apr 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting | May 26, 2020 | Graph Neural NetworkHuman motion prediction | CodeCode Available | 1 |
| Deep Stock Predictions | Jun 8, 2020 | Portfolio OptimizationPrediction | CodeCode Available | 1 |
| Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting | Sep 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Bayesian Neural Architecture Search using A Training-Free Performance Metric | Jan 29, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 |
| Dimensionality reduction to maximize prediction generalization capability | Mar 1, 2020 | Dimensionality ReductionPrediction | CodeCode Available | 1 |
| Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks | Oct 23, 2023 | Irregular Time SeriesTime Series | CodeCode Available | 1 |
| Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers | May 22, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Financial time series forecasting with multi-modality graph neural network | Jan 1, 2022 | Graph Neural NetworkTime Series | CodeCode Available | 1 |
| From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction | Apr 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction | Jun 16, 2023 | Activity RecognitionDeep Learning | CodeCode Available | 1 |
