[AAAI2023] 时空数据挖掘方向论文总结
时空数据
- Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
- Spatio-temporal Neural Structural Causal Models for Bike Flow Prediction
- Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
- Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
- Trafformer: Unify Time and Space in Traffic Prediction
- Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations
- Exposing the Self-supervised Space-Time Correspondence Learning via Graph Kernels
- N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
- WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series
- Temporal-Frequency Co-Training for Time Series Semi-Supervised Learning
- SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation
- Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning
- Causal Recurrent Variational Autoencoder for Medical Time Series Generation
- AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-series Generation
- Detecting Multivariate Time Series Anomalies with Zero Known Label
- Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting
- ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction
- An Extreme-Adaptive Time Series Prediction Model Based on Probability Enhanced LSTM Neural Networks
- Are Transformers Effective for Time Series Forecasting?
- Supervised Contrastive Few-shot Learning for High-frequency Time Series
- InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting
- PrimeNet: Pre-Training for Irregular Multivariate Time Series
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series
- SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification
- Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
- Time Series Contrastive Learning with Information-Aware Augmentations
- Black-box Adversarial Attack on Time Series Classification
- PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction
- Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
- AirFormer: Predicting Nationwide Air Quality in China with Transformers
- Learning Decomposed Spatial Relations for Multi-Variate Time-Series
Modeling
轨迹数据
- PateGail: A Privacy-preserving Mobility Trajectory Generator with Imitation Learning
- WSiP: Wave Superposition Inspired Pooling for Dynamic InteractionsAware Trajectory Prediction
- GRLSTM: Trajectory Similarity Computation with Graph-based Residual LSTM
- Mobility Prediction via Sequential Trajectory Disentanglement
- Continuous Trajectory Generation Based on Two-Stage GAN
- Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism
Last updated on Feb 27, 2023