IJCAI 2026 | 时空数据（Spatial-Temporal）论文总结【交通预测，轨迹预测，轨迹表示学习，天气预报，EEG，农业，自然灾害治理等应用 】

IJCAI 2026在2026年8月15日至21日在德国不来梅（Bremen, Germany）举行。

本文总结了IJCAI 2026有关时空数据（Spatial Temporal）的相关文章，共计30篇，如有疏漏，欢迎补充。

时空数据Topic：交通预测，轨迹预测，轨迹表示学习，天气预报，EEG，农业，自然灾害治理等应用等

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

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）。

Main Track

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

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

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

关键词：环境友好，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

关键词：多元时序预测，多层级异质时空图

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

关键词：时空预测，out-of-time，动态图，不变学习

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

关键词：交通预测，先验知识

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

关键词：EEG，贝叶斯因果网络

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

代码：https://github.com/5GYYYYY/SPOTR

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

关键词：时空池化，生理信号

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

关键词：偏微分方程（PDE），时空动态性

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

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

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

关键词：时空预测，时频聚合

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

关键词：时空特征聚类，资产定价和投资组合推荐

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

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

关键词：交通预测，时空对偶性

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

关键词：交通预测，输入窗口长度

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

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

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

关键词：交通预测，扩散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

关键词：轨迹表示学习，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

关键词：轨迹预测，多尺度交互感知

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

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

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

关键词：移动数据，社交网络，同质性

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

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

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

关键词：时空移动轨迹，社交关系推断

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

关键词：EEG，时空二分变换网络

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

关键词：时空图状态模型，Mambma，不确定性感知

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

关键词：流行病预测，先验知识增强

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

关键词：时空学习制图，农业用地利用

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

关键词：时空环境学习，长尾物种分布建模

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

作者：Mareike Böckel,, Stephan Doerfel, Kathrin Meisenberg, Oliver Meisenberg, Max Friedrich, Mattis Hartwig

关键词：时空重建，大气扩散模型

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

关键词：中断情况下交通预测

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

关键词：气候因子预测，农作物管理

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

关键词：气候政策分析，多智能体强化学习

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

关键词：大规模交通预测，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

关键词：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

关键词：交通预测，视觉融合

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

关键词：天气预报，基础模型

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

关键词：交通仿真， SUMO