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A professional list on deep learning models for Trajectory Similarity Measurement and Trajectory Distance Computation

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Deep Trajectory Similarity Measurement and Trajectory Distance Computation

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🌟 A professional list on deep learning models for Trajectory Similarity Measurement and Trajectory Distance Computation

✏️ We will continue to update this list with the newest resources. If you find any missed resources (paper/code) or errors, please feel free to open an issue or make a pull request.

🚀 For a collection of general deep learning-basd trajectory data management and mining papers, please check this repo.

Survey

  • A Survey of Trajectory Distance Measures and Performance Evaluation, in VLDBJ 2020. [paper]
  • A Comparative Analysis of Trajectory Similarity Measures, in GIScience & Remote Sensing 2021. [paper]
  • Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study, in TKDE 2023. [paper] [code]
  • Trajectory Similarity Measurement: An Efficiency Perspective, in arXiv 2023. [paper] [code]

Deep Learning-based Methods

Free Space

2018
  • Deep Representation Learning for Trajectory Similarity Computation, in ICDE 2018. [paper] [code]
2019
  • Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Netric Learning Approach, in ICDE 2019. [paper] [code]
  • Effective and Efficient Sports Play Retrieval with Deep Representation Learning, in KDD 2019. [paper] [code]
2020
  • Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching, in IJCAI 2020. [paper]
  • Representation Learning with Multi-Level Attention for Activity Trajectory Similarity Computation, in TKDE 2020. [paper]
2021
  • T3S: Effective Representation Learning for Trajectory Similarity Computation, in ICDE 2021. [paper]
  • Similar Trajectory Search with Spatio-Temporal Deep Representation Learning, in TIST 2021. [paper]
  • On Accurate Computation of Trajectory Similarity via Single Image Super-Resolution, in IJCNN 2021. [paper] [code]
  • Embedding-based Similarity Computation for Massive Vehicle Trajectory Data, in IoTJ 2021. [paper]
2022
  • TMN: Trajectory Matching Networks for Predicting Similarity, in ICDE 2022. [paper] [code]
  • TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation, in KDD 2022. [paper] [code]
  • Efficient Trajectory Similarity Computation with Contrastive Learning, in CIKM 2022. [paper] [code]
  • CSTRM: Contrastive Self-Supervised Trajectory Representation Model for Trajectory Similarity Computation, in CC 2022. [paper]
2023
  • Trajectory Similarity Learning with Dual-Feature Attention, in ICDE 2023. [paper] [code]
  • Towards Robust Trajectory Similarity Computation: Representation-based Spatio-Temporal Similarity Quantification, in WWWJ 2023. [paper] [code]
  • Self-Supervised Contrastive Representation Learning for Large-Scale Trajectories, in Future Generation Computer Systems 2023. [paper]
2024
  • KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding, in AAAI 2024 [paper]

Road Network

2020
  • Trembr: Exploring Road Networks for Trajectory Representation Learning, in TIST 2020. [paper]
2021
  • A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks, in KDD 2021. [paper]
2022
  • Spatio-Temporal Trajectory Similarity Learning in Road Networks, in KDD 2022. [paper] [code]
2023
  • LightPath: Lightweight and Scalable Path Representation Learning, in KDD 2023. [paper]
  • GRLSTM: Trajectory Similarity Computation with Graph-based Residual LSTM, in AAAI 2023. [paper] [code]
  • Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning, in EDBT 2023. [paper] [code]

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A professional list on deep learning models for Trajectory Similarity Measurement and Trajectory Distance Computation

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