Accepted Papers

Tong Guan, Jiaheng Peng, Kaiyue Ma, Jun Liang, Bo Du and Shirui Pan. GraphSTAGE: Channel-Preserving Graph Neural Networks for Time Series Forecasting [Full Paper]

Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura and Renhe Jiang. DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs [Full Paper]

Haonan Shi, Long Tian, Jie Tao, Yufei Li, Liming Wang and Xiyang Liu. A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation [Short Paper]

Zekai Shen, Haitao Yuan, Xiaowei Mao, Congkang Lv, Shengnan Guo, Youfang Lin and Huaiyu Wan. Work Smarter, Not Harder: Towards An Efficient and Effective En Route Travel Time Estimation Framework [Full Paper]

Shen Zhou, Longwei Li and Yehua Sheng. Fine-grained Temporal Learning in Traffic Flow Forecasting: The Power of Intraday Patterns [Short Paper]

Haomin Wen, Youfang Lin, Jinji Fu, Xiaowei Mao, Yan Lin, Yuting Qiang, Lixia Wu and Huaiyu Wan. GRL4AOI: Graph-based Reinforement Learning for Service-aware AOI Segmentation [Full Paper]

Kuo Yang, Qihe Huang and Zhengyang Zhou. Unveiling Concept Shift via Spatio-Temporal State Learning [Full Paper]

Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan and Jingping Bi. STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis [Full Paper]

Dingyi Zhuang, Hanyong Xu, Xiaotong Guo, Yunhan Zheng, Shenhao Wang and Jinhua Zhao. Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study [Full Paper]

Yunxiao Li, Mingyang Wei, Zewen Liu, Max S.Y Lau and Wei Jin. Efficient Epidemic Intervention Generation: A Graph Adversarial Attack Perspective [Short Paper]

Lin Xu and Yuan'Kai Wu. House Price Prediction Using Conditional Neural Networks [Full Paper]

Hadi Mohammadzadeh Abachi, Majid Namazi, Milad Mosharraf, Pooyan Asgari and Amin Beheshti. A Competitive-Cooperative Approach to Dynamic Pricing for Two-Sided Hospitality Platforms [Full Paper]