Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
Published in International Conference on Machine Learning, 2025
Recommended citation: Zhigaoyuan Wang, Ying Sun\*, Hengshu Zhu, "Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach", 42nd International Conference on Machine Learning (ICML-2025), 2025. (CCF-A)