IJCAI 2026 | 時空數據（Spatial-Temporal）論文總結【交通預測，軌跡預測，軌跡表示學習，天氣預報，EEG，農業，自然災害治理等應用 】

來源：公眾號"時空探索之旅"

原文鏈接：https://cloud.tencent.com/developer/article/2684292

IJCAI 2026在2026年8月15日至21日在德國不來梅（Bremen, Germany）舉行。

本文總結了IJCAI 2026有關時空數據（Spatial Temporal）的相關文章，共計30篇，如有疏漏，歡迎補充。

時空數據Topic：交通預測，軌跡預測，軌跡表示學習，天氣預報，EEG，農業，自然災害治理等應用等

IJCAI2026 accepted papers: https://2026.ijcai.org/accepted-papers/

Main Track1. STAR: Spatio-Temporal Attention Rebalancing for Eco-Friendly Autonomous Mobility-on-Demand Systems2. Beyond Sequences: A Dynamic Hierarchical Heterogeneous Spatio-Temporal Graph for Irregular Multivariate Time Series Forecasting3. Tracking Topological Shifts: How Can Dynamic Graph Invariant Learning Enable Reliable Out-of-Time Spatio-Temporal Prediction?4. ASTPKEFormer: Adaptive Spatiotemporal Prior Knowledge Embedding-Induced Transformers for Traffic Data Forecasting5. STCBN-EC: A Spatio-Temporal Constrained Bayesian Causal Network for Multimodal Brain Effective Connectivity Learning6. SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning7. PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics8. WBMCF: Robust Spatiotemporal Forecasting of Terrorism Fatalities with Multi-Scale Time–Frequency Fusion9. Dual-Adversarial Dynamic Variational Asset Pricing with Adaptive Spatio-Temporal Feature Clustering for Portfolio Recommendation10. Active Arbitration: Decoupling Spatio-Temporal Duality for Efficient Traffic Forecasting11. MiniST: Unlocking Input Window Length in Traffic Flow Forecasting with Compact Parameters12. Coarse-to-Fine Latent Guidance: A Multi-Scale Diffusion Transformer for Traffic Flow Forecasting13. Towards Efficient and Effective Unimodal Trajectory Representation Learning: A Simple Yet Powerful Approach14. TrajAR: Long-Term Trajectory Prediction at Urban Intersections via Multi-scale Interaction Perception15. Disentangled Hypergraph Network with Implicit Structure Learning for Mobility Social Relationship Inference16. Dual-Channel Hybrid Graph Neural Network for Mobility Social Relationship InferenceSpecial Track on AI and Health17. ST-BiT: Spatio-Temporal Bipartite Transformer Network for Interaction-Preserving EEG-Based Dementia Subtyping18. HealthMamba: An Uncertainty-aware Spatiotemporal Graph State Space Model for Effective and Reliable Healthcare Facility Visit Prediction19. Prior Knowledge-enhanced Spatio-temporal Epidemic Forecasting20. AG-STELLA: Spatio-Temporal Learning for Water-related Agricultural Land Use Activity Mapping with AlphaEarth21. STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modeling22. Integrating Atmospheric Dispersion Modeling Priors into Cuboid Splatting for Spatiotemporal Reconstruction of Airborne Radioiodine After Nuclear Accidents23. UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions24. Domain-Informed Graph Neural Networks for Climate Factor Forecasting to Support Sustainable Crop Management25. Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCMSpecial Track on AI4Tech: AI Enabling Critical Technologies26. HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting27. DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood ModelingSurvey Track28. Towards Vision-Spatiotemporal Fusion in Traffic Forecasting: A Survey on Cross-Modal Alignment29. Deep Learning and Foundation Models for Weather Prediction: A SurveyDemo Track30. UrbanMix: LLM-Guided Simulation of Mixed Autonomy Traffic with Heterogeneous Behavioral Profiles

Main Track

1 STAR: Spatio-Temporal Attention Rebalancing for Eco-Friendly Autonomous Mobility-on-Demand Systems

代碼：https://github.com/2jungeuni/eco-friendly-fleet-rebalancing

作者：Jungeun Lee, Seungjae Baek, Seongjae Lee, Sunhwi Kim, Jeong hwan Jeon

關鍵詞：環境友好，共享出行

2 Beyond Sequences: A Dynamic Hierarchical Heterogeneous Spatio-Temporal Graph for Irregular Multivariate Time Series Forecasting

作者：Xiaowei Yan, Zhuo Li, Junjie Zhang, Bing Li, Jun Yan, Buzhou Tang

關鍵詞：多元時序預測，多層級異質時空圖

3 Tracking Topological Shifts: How Can Dynamic Graph Invariant Learning Enable Reliable Out-of-Time Spatio-Temporal Prediction?

作者：Xinyan Hao, Huaiyu Wan, Shengnan Guo, Shaojiang Wang, Youfang Lin

關鍵詞：時空預測，out-of-time，動態圖，不變學習

4 ASTPKEFormer: Adaptive Spatiotemporal Prior Knowledge Embedding-Induced Transformers for Traffic Data Forecasting

作者：Wenfeng Zhou, Xiaoyun Xia, Xiangjie Kong, Guojiang Shen, Bin Chen, Fei Wu, Binbin Guo

關鍵詞：交通預測，先驗知識

5 STCBN-EC: A Spatio-Temporal Constrained Bayesian Causal Network for Multimodal Brain Effective Connectivity Learning

作者：Zhihao Su, Junzhong Ji, Minqi Yu, Jinduo Liu

關鍵詞：EEG，貝葉斯因果網絡

6 SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning

代碼：https://github.com/5GYYYYY/SPOTR

作者：Yiyu Gui, Mingzhi Chen, Yuesheng Zhu, Guibo Luo, Yuchao Yang

關鍵詞：時空池化，生理信號

7 PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics

arXiv：https://arxiv.org/abs/2605.03548

作者：Hao Zhou, Rui Zhang, Han Wan, Hao Sun

關鍵詞：偏微分方程（PDE），時空動態性

8 WBMCF: Robust Spatiotemporal Forecasting of Terrorism Fatalities with Multi-Scale Time–Frequency Fusion

代碼：https://github.com/weibaozhong/WBMCF

作者： Zhenkai Qin, Baozhong Wei, Huan Zeng, Caifeng Gao, Ziqian Lin

關鍵詞：時空預測，時頻聚合

9 Dual-Adversarial Dynamic Variational Asset Pricing with Adaptive Spatio-Temporal Feature Clustering for Portfolio Recommendation

作者：Yupeng Fang, Ruirui Liu, Xinyu Xia, Huichou Huang, Johannes Ruf, Qingyao Wu

關鍵詞：時空特征聚類，資產定價和投資組合推薦

10 Active Arbitration: Decoupling Spatio-Temporal Duality for Efficient Traffic Forecasting

作者：JiaJun Yu, Fang Yuan, Guang-Yong Chen, Min Gan

關鍵詞：交通預測，時空對偶性

11 MiniST: Unlocking Input Window Length in Traffic Flow Forecasting with Compact Parameters

作者：Sheng Huang, Guanjun Wang, Jiaming Ma, Binwu Wang, Yang Wang

關鍵詞：交通預測，輸入窗口長度

12 Coarse-to-Fine Latent Guidance: A Multi-Scale Diffusion Transformer for Traffic Flow Forecasting

代碼：https://github.com/ZetaoLiPhD/MS-STDT

作者：Zetao Li, Silin Zhou, Zheng Hu, Shimin Cai, Tao Zhou

關鍵詞：交通預測，擴散Transformer

13 Towards Efficient and Effective Unimodal Trajectory Representation Learning: A Simple Yet Powerful Approach

作者： Shaoxuan Gu, Xingyu Zhao, Dongliang Chen, Yuan Cao, Yanwei Yu

關鍵詞：軌跡表示學習，Mambma

14 TrajAR: Long-Term Trajectory Prediction at Urban Intersections via Multi-scale Interaction Perception

作者： Letian Gong, Yan Lin, Xinyue Zhang, Yiwei Shuang, Guanyu Yao, Cheng Long, Shengnan Guo, Youfang Lin, Huaiyu Wan

關鍵詞：軌跡預測，多尺度交互感知

15 Disentangled Hypergraph Network with Implicit Structure Learning for Mobility Social Relationship Inference

代碼：https://github.com/Tilamisu-zz/DHISL

作者： Jingjing Zhu, Xiang Li, Dongliang Chen, Haobing Liu, Yuan Cao, Yanwei Yu

關鍵詞：移動數據，社交網絡，同質性

16 Dual-Channel Hybrid Graph Neural Network for Mobility Social Relationship Inference

代碼：https://github.com/KunLiangChen/HyGNN

作者：Liangkun Chen, Xiang Li, Guiyuan Jiang, Zhongying Zhao, Junyu Dong, Yanwei Yu

關鍵詞：時空移動軌跡，社交關系推斷

Special Track on AI and Health

17 ST-BiT: Spatio-Temporal Bipartite Transformer Network for Interaction-Preserving EEG-Based Dementia Subtyping

作者： Siddhant Ujjain, Vaibhav Kagathara, Pooja Singh, Tapan Gandhi, Sandeep Kumar

關鍵詞：EEG，時空二分變換網絡

18 HealthMamba: An Uncertainty-aware Spatiotemporal Graph State Space Model for Effective and Reliable Healthcare Facility Visit Prediction

arXiv：https://arxiv.org/abs/2602.05286

作者：Dahai Yu, Lin Jiang, Rongchao Xu, Guang Wang

關鍵詞：時空圖狀態模型，Mambma，不確定性感知

19 Prior Knowledge-enhanced Spatio-temporal Epidemic Forecasting

arXiv：https://arxiv.org/abs/2602.22270

作者：Sijie Ruan, Jinyu Li, Jia Wei, Zenghao Xu, Jie Bao, Junshi Xu, Junyang Qiu, Shuliang Wang, Xiaoxiao Wang, Hanning Yuan

關鍵詞：流行病預測，先驗知識增強

Special Track on AI and Social Good

20 AG-STELLA: Spatio-Temporal Learning for Water-related Agricultural Land Use Activity Mapping with AlphaEarth

作者： Nibir Chandra Mandal, Oishee Bintey Hoque, Kyle Luong, Samarth Swarup, Kirti Rajagopalan, Mandy Wilson, Abhijin Adiga, Madhav Marathe

關鍵詞：時空學習制圖，農業用地利用

21 STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modeling

作者： Shufeng Kong, Tao Yu, Yuanyuan Wei, Caihua Liu, Junwen Bai, Yingheng Wang, Marc Grimson, Daniel Fink, Carla Gomes

關鍵詞：時空環境學習，長尾物種分布建模

22 Integrating Atmospheric Dispersion Modeling Priors into Cuboid Splatting for Spatiotemporal Reconstruction of Airborne Radioiodine After Nuclear Accidents

作者：Mareike B?ckel,, Stephan Doerfel, Kathrin Meisenberg, Oliver Meisenberg, Max Friedrich, Mattis Hartwig

關鍵詞：時空重建，大氣擴散模型

23 UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions

arXiv：https://arxiv.org/abs/2602.14049

作者：Yue Wang, Djellel Difallah, Areg Karapetyan, Samer Madanat

關鍵詞：中斷情況下交通預測

24 Domain-Informed Graph Neural Networks for Climate Factor Forecasting to Support Sustainable Crop Management

作者：Ziyue Sun, Zixin Jiang, Chenkai Xu, Xinggao Liu

關鍵詞：氣候因子預測，農作物管理

25 Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM

arXiv：https://arxiv.org/abs/2510.07971

作者：Oskar Bohn Lassen, serio agriesti, Filipe Rodrigues, Blaz Kurnik, Francisco Pereira

關鍵詞：氣候政策分析，多智能體強化學習

Special Track on AI4Tech: AI Enabling Critical Technologies

26 HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting

arXiv：https://arxiv.org/abs/2512.07854

作者：Yongyao Wang, Xie Yu, Jingyuan Wang, Jiahao Ji, Li Chao

關鍵詞：大規模交通預測，MLP

27 DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling

arXiv：https://arxiv.org/abs/2512.23964

作者：Carlo Malapad Acosta, Herath Mudiyanselage Viraj Vidura Herath, Jia Yu Lim, Abhishek Saha, Sanka Rasnayaka, Lucy Marshall

關鍵詞：洪水建模，物理信息GNN

Survey Track

28 Towards Vision-Spatiotemporal Fusion in Traffic Forecasting: A Survey on Cross-Modal Alignment

作者：Anna Wang, Chao Zhang, Mingwei Lin, Junbo Zhang, Zeshui Xu, Wentao Li, Pengfei Zhang, Oscar Castillo

關鍵詞：交通預測，視覺融合

29 Deep Learning and Foundation Models for Weather Prediction: A Survey

arXiv：https://arxiv.org/abs/2501.06907

作者：Jimeng Shi, Azam Shirali, Bowen Jin, Sizhe Zhou, Wei Hu, Rahuul Rangaraj, Zhaonan Wang, Yanzhao Wu, Leonardo Bobadilla, Upmanu Lall, Shaowen Wang, Jiawei Han, Giri Narasimhan

關鍵詞：天氣預報，基礎模型

Demo Track

30 UrbanMix: LLM-Guided Simulation of Mixed Autonomy Traffic with Heterogeneous Behavioral Profiles

作者：Roman Sultimov, Daniil Efimov, Ivan Novikov, Aleksandr Volkov, Yury Maximov

關鍵詞：交通仿真， SUMO