AAAI 2025将在2025年2月25日到3月4日于美国费城（ Philadelphia, Pennsylvania, USA）举行。AAAI 2025共有12,957篇投稿（Main Technical Track），共录取了3032篇论文，录取率23.4%。

本文总结了2025 AAAI上有关时空数据（spatial-temporal）相关论文。如有疏漏，欢迎大家补充。

时空数据Topic：交通预测，插补，轨迹生成，轨迹表示学习，POI推荐，POI表示学习，车辆调度等。其中1-13为Oral。

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）。

Oral

1. Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
2. Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting
3. Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling
4. GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
5. STD-PLM: Understanding Both Spatial and Temporal Properties of SpatialTemporal Data with PLM
6. UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks
7. Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning under Zero-inflated Distribution
8. DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
9. ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
10. Scalable Trajectory-User Linking with Dual-Stream Representation Networks
11. Efficient Traffic Prediction through Spatio-Temporal Distillation
12. Correlation Attention Masked Temporal Transformer for User Identity Linkage using Heterogeneous Mobility Data
13. POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
14. Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales

Poster

1. Unaligned Message-Passing and Contextualized Pretraining for Robust Geo-Entity Resolution
2. GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geox0002Prototyping
3. Personalized Federated Learning for SpatioTemporal Forecasting: A Dual Semantic AlignmentBased Contrastive Approach
4. SSL-STMFormer Self-Supervised Learning SpatioTemporal Entanglement Transformer for Traffic Flow Prediction
5. RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation
6. Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation
7. Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios
8. FairTP: A Prolonged Fairness Framework for Traffic Prediction
9. Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
10. C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-aware Trajectory Prediction
11. ST-ReP: Learning Predictive Representations Efficiently for SpatialTemporal Forecasting
12. Aggregator: An Efficient Transformer Model for Geo-spatial Tabular Data
13. Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
14. Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting
15. Effective and Efficient Representation Learning for Flight Trajectories
16. KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
17. Holistic Semantic Representation for Navigational Trajectory Generation

Oral

1 Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting

作者：lingxiao cao,Bin Wang,Guiyuan Jiang,Yanwei Yu,Junyu Dong

关键词：交通预测，季节性，趋势性，解耦

2 Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

作者：Qiang Gao,Zizheng Wang,Li Huang,Goce Trajcevski,Guisong Liu,Xueqin Chen

关键词：地铁流量预测，响应式

3 Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling

作者：Chen Yuxin,Fangru Lin,Jingyi Huo,Hui Yan

关键词：谱滤波

4 GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching

链接：arxiv.org/abs/2408.10286

作者：Xiao Han,Zijian Zhang,Xiangyu Zhao,Yuanshao Zhu,Guojiang Shen,Xiangjie Kong,Xuetao Wei,Liqiang Nie,Jieping Ye

关键词：车辆调度

5 STD-PLM: Understanding Both Spatial and Temporal Properties of SpatialTemporal Data with PLM

链接：arxiv.org/abs/2407.09096

作者：YiHeng Huang,Xiaowei Mao,Shengnan Guo,Yubin Chen,Junfeng Shen,Tiankuo Li,Youfang Lin,Huaiyu Wan

关键词：大模型，交通预测，插补

6 UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks

作者：Jie Zhao,Chao Chen,Yuanshao Zhu,Mingyu Deng,Yuxuan Liang

关键词：轨迹表示学习

7 Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning under Zero-inflated Distribution

作者：Songran Bai,Yuheng Ji,Yue Liu,Xingwei Zhang,Xiaolong Zheng,Daniel Dajun Zeng

关键词：时空图学习，零膨胀

8 DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

链接：arxiv.org/abs/2408.12809

作者：Xiaowei Mao,Yan Lin,Shengnan Guo,Yubin Chen,Xingyu Xian,Haomin Wen,Qisen Xu,Youfang Lin,Huaiyu Wan

关键词：OD行程时间估计，不确定性

9 ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data

链接：arxiv.org/abs/2412.10912

作者：Zhenyu Lei,Yushun Dong,Jundong Li,Chen Chen

关键词：预测，受限训练

10 Scalable Trajectory-User Linking with Dual-Stream Representation Networks

作者：Hao Zhang,Wei Chen,Xingyu Zhao,Jianpeng Qi,Guiyuan Jiang,Yanwei Yu

关键词：TUL，可扩展性

11 Efficient Traffic Prediction through Spatio-Temporal Distillation

作者：Qianru Zhang,Xinyi Gao,Haixin Wang,Siu Ming Yiu,Hongzhi Yin

关键词：交通预测，高效，蒸馏

12 Correlation Attention Masked Temporal Transformer for User Identity Linkage using Heterogeneous Mobility Data

作者：ZiAng Yan,Xingyu Zhao,Hanqing Ma,Wei Chen,Jianpeng Qi,Yanwei Yu,Junyu Dong

关键词：移动数据

13 POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning

作者：Jiawei Cheng,Jingyuan Wang,Yichuan Zhang,Jiahao Ji,Yuanshao Zhu,Zhibo Zhang,Xiangyu Zhao

关键词：POI表示学习

14 Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales

链接：arxiv.org/abs/2412.18535

作者：Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan

关键词：插补，图结构

Poster

15 Unaligned Message-Passing and Contextualized Pretraining for Robust Geo-Entity Resolution

作者：Yuwen Ji,Jiaqi Zhang,Wenbo Xie,Chao Wang,NingGuo,Lei Shi,Yue Zhang

关键词：稳健性

16 GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo_x0002_Prototyping

链接：arxiv.org/abs/2412.15353

作者：BANG AN,Xun Zhou,Zirui Zhou,Ronilo Ragodos,Zenglin Xu,Jun Luo

关键词：时空事件预测，可解释性

17 Personalized Federated Learning for SpatioTemporal Forecasting: A Dual Semantic AlignmentBased Contrastive Approach

链接：arxiv.org/abs/2404.03702

作者：Qingxiang Liu,Sheng Sun,Yuxuan Liang,Min Liu,Jingjing Xue

关键词：预测，联邦学习

18 SSL-STMFormer Self-Supervised Learning SpatioTemporal Entanglement Transformer for Traffic Flow Prediction

作者：Zetao Li,Zheng Hu,Peng Han,Yu Gu,Shimin Cai

关键词：交通预测

19 RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation

作者：zijin liu,Xiang Zhao,You Song

关键词：插补，扩散模型

20 Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation

作者：Chao Song,Zheng Ren,Li Lu

关键词：POI推荐，聚类

21 Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios

链接：arxiv.org/abs/2405.13715

作者：Ruolin Wang,Yuejiao Xu,Jianmin Ji

关键词：交通场景逻辑模拟

22 FairTP: A Prolonged Fairness Framework for Traffic Prediction

作者：Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao

关键词：交通预测，公平性

23 Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning

作者：Chengkai Han,Jingyuan Wang,Wang Yongyao,Xie Yu,Hao Lin,Li Chao,Junjie Wu

关键词：轨迹表示学习

24 C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-aware Trajectory Prediction

链接：arxiv.org/abs/2412.13231

作者：Zichen Wang,Hao Miao,Senzhang Wang,Renzhi Wang,Jianxin Wang,Jian Zhang

关键词：轨迹预测

25 ST-ReP: Learning Predictive Representations Efficiently for SpatialTemporal Forecasting

链接：arxiv.org/abs/2412.14537

作者：Qi Zheng,Zihao Yao,Yaying Zhang

关键词：时空预测，自监督

26 Aggregator: An Efficient Transformer Model for Geo-spatial Tabular Data

作者：Rui Deng,Ziqi Li,Mingshu Wang

关键词：地理表格数据

27 Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction

作者：Sicheng He,Junzhong Ji,Minglong Lei

关键词：长时交通预测

28 Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting

作者：Yudong Zhang,Xu Wang,Xuan Yu,Zhaoyang Sun,Kai Wang,Yang Wang

关键词：时空迁移学习

29 Effective and Efficient Representation Learning for Flight Trajectories

链接：arxiv.org/abs/2412.16581

作者：Shuo Liu,Wenbin Li,Di Yao,Jingping Bi

关键词：飞行轨迹表示学习

30 KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

链接：arxiv.org/abs/2311.02565

作者：Qianxiong Xu,Cheng Long,Ziyue Li,Sijie Ruan,Rui Zhao,zhishuai Li

关键词：克里格

31 Holistic Semantic Representation for Navigational Trajectory Generation

链接：arxiv.org/abs/2501.02737

作者：Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song

关键词：轨迹生成

欢迎各位作者投稿近期有关时空数据和时间序列录用的顶级会议和期刊的优秀文章解读，我们将竭诚为您宣传,共同学习进步。如有意愿,请通过后台私信与我们联系。