VLDB 2024 | 时空数据(Spatial-temporal)论文总结

文摘   2024-12-07 09:40   北京  

VLDB 2024于2024年8月26号-8月30号在中国广州举行。

本文总结了VLDB 2024有关时空数据(Spatial-temporal data)的相关论文,共11篇。主要包含如有疏漏,欢迎大家补充。

时空数据Topic:交通预测,插补,轨迹相似度检索,轨迹恢复,轨迹插补,路径规划,最短路查询等。

点击文末阅读原文跳转笔者知乎链接(跳转论文链接更方便)。




  1. BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks
  2. Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness
  3. High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now 3
  4. TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals
  5. KAMEL: A Scalable BERT-based System for Trajectory Imputation
  6. Trajectory Similarity Measurement: An Efficiency Perspective Nuhuo: An Effective Estimation Model for Traffic Speed
  7. Histogram Imputation on A Road Network
  8. Real-time Insertion Operator for Shared Mobility on Time-Dependent Road Networks
  9. Efficient Stochastic Routing in Path-Centric Uncertain Road Networks
  10. PCSP: Efficiently Answering Label-Constrained Shortest Path Queries in Road Networks
  11. [Demo] Pyneapple-G: Scalable Spatial Grouping Queries

BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks

链接https://www.vldb.org/pvldb/vol17/p1081-han.pdf

代码https://github.com/usail-hkust/BigST

作者:Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong

关键词:可扩展的交通预测


BigST

Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness

链接https://www.vldb.org/pvldb/vol17/p2349-mokbel.pdf

代码https://github.com/yhuang-db/holoclean-sparcle

作者:Yuchuan Huang, Mohamed Mokbel

关键词:数据清理系统, 空间感知

Sparcle

High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now

链接https://www.vldb.org/pvldb/vol17/p4507-wang.pdf

代码https://github.com/harsha2010/magellan

作者:Fusheng Wang, Rubao Lee, Dejun Teng, Xiaodong Zhang, Joel Saltz

关键词:Hadoop-GIS, spatial data analysis, hardware acceleration


Hadoop-GIS

TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals

链接https://www.vldb.org/pvldb/vol17/p414-chen.pdf

代码https://github.com/yileccc/TERI

作者:Yile Chen, Gao Cong, Cuauhtemoc Anda

关键词:轨迹恢复,不规则采样


TERI

KAMEL: A Scalable BERT-based System for Trajectory Imputation

链接https://www.vldb.org/pvldb/vol17/p525-musleh.pdf

代码https://github.com/meshalawy/KAMEL

作者:Mashaal Musleh, Mohamed F. Mokbel

关键词:轨迹插补, BERT,可扩展性

Trajectory Similarity Measurement: An Efficiency Perspective

链接https://www.vldb.org/pvldb/vol17/p2293-qi.pdf

代码https://github.com/changyanchuan/TrajSimiMeasures

作者:Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi

关键词:轨迹相似度计算,效率评估

Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network

链接https://www.vldb.org/pvldb/vol17/p1605-yuan.pdf

代码https://github.com/yuanhaitao/Nuhuo.git

作者:Haitao Yuan, Gao Cong, Guoliang Li

关键词:交通速度直方图, 插补

Nuhuo

Real-time Insertion Operator for Shared Mobility on Time-Dependent Road Networks

链接https://www.vldb.org/pvldb/vol17/p1669-zeng.pdf

代码https://github.com/gzyhkust/Insertion-Operator

作者:Zengyang Gong, Yuxiang Zeng, Lei Chen

关键词:real-time insertion operator, 共享出行, 时间依赖的路网

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks


链接https://www.vldb.org/pvldb/vol17/p2893-xu.pdf

代码https://github.com/decisionintelligence/Route-sota

作者:Chenjuan Guo, Ronghui Xu, Bin Yang, Yuan Ye, Tung Kieu, Yan Zhao, Christian S. Jensen

关键词:路径规划,随即路由, 启发式



PCSP: Efficiently Answering Label-Constrained Shortest Path Queries in Road Networks

链接https://www.vldb.org/pvldb/vol17/p3082-wang.pdf

代码https://github.com/lbwang95/PCSP

作者:SLibin Wang, Raymond Chi-Wing Wong

关键词:Shortest Path Queries

PCSP

[Demo] Pyneapple-G: Scalable Spatial Grouping Queries

链接https://www.vldb.org/pvldb/vol17/p4469-abdelhafeez.pdf

作者:Laila Abdelhafeez, Andres Calderon, Amr Magdy, Vassilis J. Tsotras

关键词:空间分组查询

Pyneapple

相关链接

VLDB 2024 Accepted Paperhttps://vldb.org/pvldb/volumes/17/


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