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。
🌟【紧跟前沿】“时空探索之旅”与你一起探索时空奥秘!🚀
欢迎大家关注时空探索之旅时空探索之旅
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
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
相关链接
CIKM24 Accepted Papers:
g 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
相关链接
CIKM24 Accepted Papers:
https://cikm2024.org/accepted-papers/
🌟【紧跟前沿】“时空探索之旅”与你一起探索时空奥秘!🚀
欢迎大家关注时空探索之旅时空探索之旅