[ICDE2023] 时空数据挖掘方向论文总结

时空数据

1. When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
2. Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting
3. Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
4. Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning
5. PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
6. ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework
7. Uncertainty Quantification for Traffic Forecasting: A Unified Approach
8. Discovering Frequency Bursting Patterns in Temporal Graphs
9. TSEXPLAIN: Explaining Aggregated Time Series by Surfacing Evolving Contributors
10. TSC-AutoML: Meta-learning for automatic Time Series Classification Algorithm Selection
11. REncoder: A Space-Time Efficient Range Filter with Local Encoder
12. Mining Seasonal Temporal Patterns in Time Series
13. Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution
14. Forecasting COVID-19 Dynamics: Clustering, Generalized Spatiotemporal Attention, and Impacts of Mobility and Geographic Proximity
15. M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction
16. Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression
17. BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service

轨迹数据

1. Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
2. BERT-Trip: Effective and Scalable Trip Representation using Attentive Contrast Learning
3. RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
4. Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
5. A Lightweight Framework for Fast Trajectory Simplification
6. LHMM: A Learning Enhanced HMM Model for Cellular Trajectory Map-matching
7. Contrastive Trajectory Similarity Learning with Dual-Feature Attention
8. Towards Efficient MIT query in Trajectory Data

图与网络

1. CLDG: Contrastive Learning on Dynamic Graphs
2. SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs
3. Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method
4. Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks
5. Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction
6. GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs
7. AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network
8. Inconsistency Detection with Temporal Graph Functional Dependencies
9. Discovering Frequency Bursting Patterns in Temporal Graphs
10. Finer-Grained Engagement in Hypergraphs
11. Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs
12. Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams
13. Efficiently Sampling and Estimating Hypergraphs By Hybrid Random Walk
14. HGMatch: A Match-by-Hyperedge Framework for Efficient and Parallel Subhypergraph Matching
15. PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs
16. Top-r keyword-based community search in attributed graphs
17. Experimental Evaluation of Indexing Techniques for Shortest Distance Queries on Road Networks
18. Finding Top-k Optimal Routes with Collective Spatial Keywords on Road Networks
19. Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks
20. Efficient Public Transport Planning on Roads

数据质量

1. Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise
2. ENLD: Efficient Noisy Label Detection for Incremental Datasets in Data Lake
3. RADAR: Reactive Concept Drift Management with Robust Variational Inference for Evolving IoT Data Streams
4. Data Imputation for Sparse Radio Maps in Indoor Positioning

其他

1. Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning
2. Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation
3. Toward a Unified Framework for Unsupervised Complex Tabular Reasoning
4. Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation
5. Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery
6. Backward-Sort for Time Series in Apache IoTDB
7. Online Learning from Streaming Data: Challenges and Lessons Learned for Real-Time Applications