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

文摘 2024-10-06 12:34 北京

CIKM 2024于10月21号-10月25号在美国爱达荷州博伊西举行（Boise, Idaho, USA）

本文总结了CIKM 2024有关时空数据（spatial-temporal data）的相关论文，主要包含交通预测，插补，事故预测，气象预测，轨迹相似度计算，物流配送以及时空图神经网络在金融，供应链，能源等领域应用的相关内容，如有疏漏，欢迎大家补充。

Full Research
Prompt-Based Spatio-Temporal Graph Transfer Learning
Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
ByGCN: Spatial Temporal Byroad-Aware Graph Convolution Network for Traffic Flow Prediction in Road Networks
Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
EasyST: A Simple Framework for Spatio-Temporal Prediction
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference
ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory
MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting
Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting
Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity
Seeing the Forest for the Trees: Road-Level Insights Assisted Lane-Level Traffic Prediction
MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions
Physics-guided Active Sample Reweighting for Urban Flow Prediction
FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference
AdaTM: Fine-grained Urban Flow Inference with Adaptive Knowledge Transfer across Multiple Cities
Hypergraph Hash Learning for Efficient Trajectory Similarity Computation
KMCT: k-Means Clustering of Trajectories Efficiently in Location-Based Services
Short Research
Spatio-Temporal Sequence Modeling for Traffic Signal Control
GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding
Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models
Revealing the Power of Masked Autoencoders in Traffic Forecasting
Hol-Light: A Holistic framework for Efficient and Dynamic Traffic Signal Management
Empowering Traffic Speed Prediction with Auxiliary Feature-Aided Dependency Learning
Applied research
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale
DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion
Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion

Full Research

1 Prompt-Based Spatio-Temporal Graph Transfer Learning

链接：https://arxiv.org/abs/2405.12452

作者：Junfeng Hu,Xu Liu,Zhencheng Fan,Yifang Yin,Shili Xiang,Savitha Ramasamy,Roger Zimmermann

关键词：提示学习，迁移学习

2 Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction

作者：Qi Yu,Weilong Ding,Hao Zhang,Yang Yang,Tianpu Zhang

关键词：交通预测，解耦

3 Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation

链接：https://arxiv.org/abs/2403.11960

作者：Baoyu Jing,Dawei Zhou,Kan Ren,Carl Yang

关键词：插补，时空图神经网络，因果注意力

4 ByGCN: Spatial Temporal Byroad-Aware Graph Convolution Network for Traffic Flow Prediction in Road Networks

作者：Tangpeng Dan,Xiao Pan,Bolong Zheng,Xiaofeng Meng

关键词：交通预测，时空图神经网络

5 Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction

作者：Yang An,Zhibin Li,Wei Liu,Haoliang Sun,Meng Chen,Wenpeng Lu,Yongshun Gong

关键词：概率交通预测

6 Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics

作者：Liangwei Nathan Zheng,Zhengyang Li,Chang George Dong,Wei Emma Zhang,Lin Yue,Miao Xu,Olaf Maennel,Weitong Chen

关键词：时空动态，时序分析

7 EasyST: A Simple Framework for Spatio-Temporal Prediction

链接：https://arxiv.org/abs/2409.06748

代码：https://github.com/HKUDS/EasyST

作者：Jiabin Tang,Wei Wei,Lianghao Xia,Chao Huang

关键词：时空预测

8 Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation

链接：https://arxiv.org/abs/2405.10995

代码：https://github.com/gorgen2020/HSPGNN

作者：Guojun Liang,Prayag Tiwari,Sławomir Nowaczyk,Stefan Byttner

关键词：插补，时空物理信息聚合

9 A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference

作者：Yupeng Fang,Ruirui Liu,Huichou Huang,Peilin Zhao,Qingyao Wu

关键词：金融数据推理，扩散模型

10 ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory

作者：Biao Yang,Yun Xiong,Xi Chen,Xuejing Feng,Meng Wang,Jun Ma

关键词：能耗估计，车辆轨迹

11 MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting

作者：Zehao Gu,Shiyang Zhou,Yun Xiong,Yang Luo,Hongrun Ren,Qiang Wang,Xiaofeng Gao,Philip Yu

关键词：事件预测

12 Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting

作者：Jing He,Junzhong Ji,Minglong Lei

关键词：气象预测，知识蒸馏

13 Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting

作者：Li Lin,Kaiwen Xia,Anqi Zheng,Shijie Hu,Shuai Wang

关键词：供应链预测，时空图学习

14 Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity

链接：https://arxiv.org/abs/2407.19668

作者：Minxiao Chen,Haitao Yuan,Nan Jiang,Zhifeng Bao,Shangguang Wang

关键词：交通事故预测，遥感

15 Seeing the Forest for the Trees: Road-Level Insights Assisted Lane-Level Traffic Prediction

作者：Shuhao Li,Yue Cui,Jingyi Xu,Jing Zhao,Fan Zhang,Weidong Yang,Xiaofang Zhou

关键词：车道级交通预测

16 MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions

链接：https://arxiv.org/abs/2408.09768

作者：Qinchen Yang,Zejun Xie,Hua Wei,Desheng Zhang,Yu Yang

关键词：信控优化，信号灯失灵场景下

17 Physics-guided Active Sample Reweighting for Urban Flow Prediction

链接：https://arxiv.org/abs/2407.13605

作者：Wei Jiang,Tong Chen,Guanhua Ye,Wentao Zhang,Lizhen Cui,Zi Huang,Hongzhi Yin

关键词：交通预测，物理驱动

18 FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference

作者：Yuhao Zheng,Yishuo Cai,Zihao Cai,Changjun Fan,Senzhang Wang,Jianxin Wang

关键词：城市流量推理，跨城市

19 AdaTM: Fine-grained Urban Flow Inference with Adaptive Knowledge Transfer across Multiple Cities

作者：Yuhao Zheng,Jinyang Wu,Zihao Cai,Senzhang Wang,Jianxin Wang

关键词：城市流量推理，知识迁移

20 Hypergraph Hash Learning for Efficient Trajectory Similarity Computation

作者：Yuan Cao,Lei Li,Xiangru Chen,Xue Xu,Zuojin Huang,Yanwei Yu

关键词：轨迹相似度计算，超图

21 KMCT: k-Means Clustering of Trajectories Efficiently in Location-Based Services

作者：Yuanjun Liu,Guanfeng Liu,Qingzhi Ma,Zhixu Li,Shiting Wen,Lei Zhao,An Liu

关键词：轨迹聚类，k-means

Short Research

22 Spatio-Temporal Sequence Modeling for Traffic Signal Control

作者：Qian Sun,Le Zhang,Jingbo Zhou,Rui Zha,Yu Mei,Chujie Tian,Hui Xiong

关键词：信控优化

23 GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding

作者：Yibo Yan,Joey Lee

关键词：地理推理，自然语言理解

24 Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models

链接：https://arxiv.org/abs/2407.20053

作者：Zhe Li,Ronghui Xu,Jilin Hu,Zhong Peng,Xi Lu,Chenjuan Guo,Bin Yang

关键词：LLM，海洋有效波高估计

AI4Ocean|基于时空感知大语言模型的海洋有效波高估计 (CIKM2024)

25 Revealing the Power of Masked Autoencoders in Traffic Forecasting

链接：https://arxiv.org/abs/2309.15169

代码：https://github.com/jsun57/STMAE

作者：Jiarui Sun,Yujie Fan,Chin-Chia Michael Yeh,Wei Zhang,Girish Chowdhary

关键词：交通预测,MAE

26 Hol-Light: A Holistic framework for Efficient and Dynamic Traffic Signal Management

作者：Siyao Qiao,Jia Wu

关键词：信控优化，高效，动态

27 Empowering Traffic Speed Prediction with Auxiliary Feature-Aided Dependency Learning

作者：Dong-hyuk Seo,Jiwon Son,Namhyuk Kim,Won-Yong Shin,Sang-Wook Kim

关键词：交通速度预测

Applied research

28 Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale

作者：Yangxin Fan,Raymond Wieser,Laura S. Bruckman,Roger H. French,Yinghui Wu

关键词：时空图神经网络

29 DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion

作者：Li Lin,Xin Xu,Hai Wang,Tian He,Desheng Zhang,Shuai Wang

关键词：时空融合

30 Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion

作者：Hai Wang,Shuai Wang,Li Lin,Yu Yang,Shuai Wang,Hongkai Wen

关键词：轨迹恢复，最后一公里配送