activity
20242026
most citedInterpreting core forms of urban morphology linked to urban functions with explainable graph neural network

11 citations · 12 across the 5 of their papers we have counts for

collaborators
Showing physics.soc-phShow all

2 papers · 1 filter

physics.soc-ph2026

Lost in Aggregation: A Multi-Scale Diagnostic Benchmark for LLM Spatial Navigation

Yuhan jiang, Peng Luo, Liqiu Meng

Large language models (LLMs) are increasingly deployed as planners and assistants in tasks with inherent spatial structure, such as navigation and route planning, yet they remain b…

physics.soc-ph2024

Pervasive impact of spatial dependence on predictability

Peng Luo, Yongze Song, Wenwen Li +1

Understanding the complex nature of spatial information is crucial for problem solving in social and environmental sciences. This study investigates how the underlying patterns of…