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cs.LG2026
GeoGNN: Time Series Geo-Localization using Two-Tower Graph Neural Networks
Toan Tran, Waqwoya Abebe, Abhishek Potnis +4
This paper investigates a novel concept of time series geolocalization, where the goal is to infer the geographic origin of each raw time series. Successful geolocalization can pro…
cs.LG2026
From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models
Chen Chu, Bita Azarijoo, Li Xiong +2
Recent large language models (LLMs) often appear to exhibit spatial reasoning ability; however, this capability is largely \emph{symbolic}, arising from pattern matching over spati…
cs.LG2026
TrajTok: Adaptive Spatial Tokenization for Trajectory Representation Learning
Zhen Xiong, Shang-Ling Hsu, Cyrus Shahabi
Learning generalizable trajectory representations from raw GPS traces remains difficult because the data is continuous, noisy, and irregularly sampled. Spatial tokenization is also…