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RAMEN: Region-Adaptive Mixture of Ego-Networks for Multimodal Geospatial Fusion in Urban Region Representation
UrbanMMCL: Urban Region Representations via Multi-Modal and Multi-Graph Self-Supervised Contrastive Learning
Learning Fine-Grained Urban Mobility Dynamics Through Large Model-Enhanced Multimodal Representations
ST-camba: A decoupled-free spatiotemporal graph fusion state space model with linear complexity for efficient traffic forecasting
Urban representation learning for fine-grained economic mapping: A semi-supervised graph-based approach
Disentangling the hourly dynamics of mixed urban function: A multimodal fusion perspective using dynamic graphs
Revealing Transport Inequality from an Activity Space Perspective: A Study Based on Human Mobility Data
Machine Learning-Based Economic Development Mapping from Multi-Source Open Geospatial Data
Uncovering Spatial Synergy of the Megacity Region: A Flow Perspective
Big Data-Driven Research on the Interaction of Human Mobility Pattern and Urban Spatial Structure