AAAI 2026将在2026年1月20日到1月27日于新加坡（Singapore）举行。AAAI 2026会议主会共有23, 680篇论文投稿，其中4, 167 篇被接收，接收率为17.6%。
本文总结了2026 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 ：时空预测，天气预报，城市区域表示，轨迹表示学习，相似度计算，轨迹预测，自动驾驶等。总计45 篇，本文涉及24篇。
注 ：由于论文数目较多，分为上下篇 ，此为上篇 ，主要涵盖时空预测，轨迹数据挖掘，部分自动驾驶等 的文章。下篇 主要涵盖自动驾驶，城市区域表示学习，天气预报等。
| 1. Spatio-Temporal Hierarchical Causal Models 2. Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting 3. WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations 4. Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation 5. Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction 6. HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting 7. Generalising Traffic Forecasting to Regions Without Traffic Observations 8. UrbanPG: An Efficient Framework with Personalized Context and General Backbone Interaction for Urban Spatio-Temporal Learning 9. STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes 10. DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise 11. Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation 12. DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT 13. UrbanNav: Learning Language-Guided Embodied Urban Navigation from Web-Scale Human Trajectories 14. ViTE: Virtual Graph Trajectory Expert Router for Pedestrian Trajectory Prediction 15. TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution 16. TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space 17. Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning 18. Region-Point Joint Representation for Effective Trajectory Similarity Learning 19. MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity 20. ReflexDiffusion: Reflection-Enhanced Trajectory Planning for High-lateral-acceleration Scenarios in Autonomous Driving 21. Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving 22. Intention-Aware Diffusion Model for Pedestrian Trajectory Prediction 23. GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing 24. GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation |
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1 Spatio-Temporal Hierarchical Causal Models
链接 ：++https://arxiv.org/abs/2511.20558++
作者：Xintong Li; Haoran Zhang; Xiao Zhou
关键词：时空层次因果模型
2 Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting
链接 ：++https://arxiv.org/abs/2511.10434++
作者：Feng Wang; Tianxiang Chen; Shuyue Wei; QianChu; Yi Zhang; Yifan Sun; Zhiming Zheng
关键词：交通预测，联邦时空图
3 WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations
作者：Huiling Qin; Yuanxun Li; Weijia Jia
关键词：未观测位置时空估计，小波，Transformer
4 Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation
作者：Zi'ang Wang; Lei Chen; Yuanchang Jin; Pan Deng; Shuangshuang Pang; Junting Liu; Yu Zhao
关键词：时空生成，知识图谱，扩散模型
5 Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction
作者：Hang Zhou; Wentao Yu; Yang Wei; Guangyu Li; Sha Xu; Chen Gong
关键词：联邦交通预测，隐私保护
6 HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting
链接 ：++https://arxiv.org/abs/2511.09275++
作者：Minlan Shao; Zijian Zhang; Yili Wang; Yiwei Dai; Xu Shen; Xin Wang
关键词：交通预测，混合周期解耦
7 Generalising Traffic Forecasting to Regions Without Traffic Observations
链接 ：++https://arxiv.org/abs/2508.08947++
作者：Xinyu Su; Majid Sarvi; Feng Liu; Egemen Tanin; Jianzhong Qi
关键词：无观测交通预测
8 UrbanPG: An Efficient Framework with Personalized Context and General Backbone Interaction for Urban Spatio-Temporal Learning
作者：Aoyu Liu; Yaying Zhang
关键词：高效时空学习
9 STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes
链接 ：++https://arxiv.org/abs/2508.10427++
作者：Keishi Ishihara; Kento Sasaki; Tsubasa Takahashi; Daiki Shiono; Yu Yamaguchi nan
关键词：时空推理的视觉问答数据集
10 DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise
链接 ：++https://arxiv.org/abs/2501.02808++
作者：Zhuoxuan Liang; Wei Li; Dalin Zhang; Ziyu Jia; Yidan Chen; Zhihong Wang; Xiangping Zheng; Moustafa Youssef
关键词：克里格，稀疏，噪声
11 Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
作者：Xiaowei Mao; Huihu Ding; Yan Lin; Tingrui Wu; Shengnan Guo; Dazhuo Qiu; Feiling Fang; Jilin Hu; Huaiyu Wan
关键词：交通插补，扩散模型
12 DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT
链接 ：++https://arxiv.org/abs/2509.06483++
作者：Guanjie Cheng; Boyi Li; Peihan Wu; Feiyi Chen; Xinkui Zhao; Mengying Zhu; Shuiguang Deng
关键词：因果时空图，IOT
13 UrbanNav: Learning Language-Guided Embodied Urban Navigation from Web-Scale Human Trajectories
作者：Yanghong Mei; Yirong Yang; Longteng Guo; Qunbo Wang; MingMing Yu; Xingjian He; Wenjun Wu; Jing Liu
关键词：城市导航，人类轨迹
14 ViTE: Virtual Graph Trajectory Expert Router for Pedestrian Trajectory Prediction
链接 ：++https://arxiv.org/abs/2511.12214++
作者：Ruochen Li; Zhanxing Zhu; Tanqiu Qiao; Hubert P. H. Shum
关键词：行人轨迹预测
15 TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
链接 ：++https://www.arxiv.org/abs/2508.05616++
作者：Zhikai Zhao; Chuanbo Hua; Federico Berto; Kanghoon Lee; Zihan Ma; Jiachen Li; Jinkyoo Park
关键词：轨迹预测，大模型，OOD
16 TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space
作者：Xiao Zhang; Xingyu Zhao; Yuan Cao; Bin Wang; Guiyuan Jiang; Yanwei Yu
关键词：轨迹相似度计算
17 Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning
作者：Yanwei Yu; Hong Xia; Shaoxuan Gu; Xingyu Zhao; Dongliang Chen; Yuan Cao
关键词：轨迹表示学习，自监督，跨城市
18 Region-Point Joint Representation for Effective Trajectory Similarity Learning
链接 ：++https://www.arxiv.org/abs/2511.13125++
作者：Hao Long; Silin Zhou; Lisi Chen; Shuo Shang
关键词：轨迹相似度
19 MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity
链接 ：++https://arxiv.org/abs/2511.12061++
作者：Zhichen Lai; Hua Lu; Huan Li; Jialiang Li; Christian S. Jensen
关键词：轨迹相似度，对比学习
20 ReflexDiffusion: Reflection-Enhanced Trajectory Planning for High-lateral-acceleration Scenarios in Autonomous Driving
作者：Xuemei Yao; Xiao Yang; Jianbin Sun; Liuwei XIE; Shao Xuebin; Xiyu Fang; Hang Su; Yang Kewei
关键词：轨迹规划，自动驾驶
21 Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving
作者：Longchao Da; David Isele; Hua Wei; Manish Saroya
关键词：轨迹预测，自动驾驶
22 Intention-Aware Diffusion Model for Pedestrian Trajectory Prediction
链接 ：++https://arxiv.org/abs/2508.07146++
作者：Yu Liu; Zhijie Liu; Xiao Ren; Youfu Li; He Kong
关键词：行人轨迹预测，扩散模型
23 GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing
链接 ：++https://arxiv.org/abs/2511.16258++
作者：Yang Xu; Zuliang Yang; Kai Ming Ting
关键词：轨迹检索（相似度），轻量化
24 GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation
链接 ：++https://arxiv.org/abs/2510.07735++
作者：Rongchao Xu; Kunlin Cai; Lin Jiang; Zhiqing Hong; Yuan Tian; Guang Wang
关键词：轨迹生成
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