6 papers
From Ecological Connectivity to Outbreak Risk: A Heterogeneous Graph Network for Epidemiological Reasoning under Sparse Spatiotemporal Data
Haley Stone, Jing Du, Yang Yang +8
Estimating population-level prevalence and transmission dynamics of wildlife pathogens can be challenging, partly because surveillance data is sparse, detection-driven, and unevenl…
World-POI: Global Point-of-Interest Data Enriched from Foursquare and OpenStreetMap as Tabular and Graph Data
Hossein Amiri, Mohammad Hashemi, Andreas Züfle
Recently, Foursquare released a global dataset with more than 100 million points of interest (POIs), each representing a real-world business on its platform. However, many entries…
Training Machine Learning Models on Human Spatio-temporal Mobility Data: An Experimental Study [Experiment Paper]
Yueyang Liu, Lance Kennedy, Ruochen Kong +2
Individual-level human mobility prediction has emerged as a significant topic of research with applications in infectious disease monitoring, child, and elderly care. Existing stud…
From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places
Mohammad Hashemi, Andreas Zufle
Capturing human mobility is essential for modeling how people interact with and move through physical spaces, reflecting social behavior, access to resources, and dynamic spatial p…
Exploring Economic Sectoral Dynamics Through High-resolution Mobility Data
Timothy F Leslie, Hossein Amiri, Andreas Züfle
We present a comprehensive dataset capturing patterns of human mobility across the United States from January 2019 to January 2023, based on anonymized mobile device data. Aggregat…
Deep Identification of Propagation Trees
Zeeshan Memon, Chen Ling, Ruochen Kong +3
Understanding propagation structures in graph diffusion processes, such as epidemic spread or misinformation diffusion, is a fundamental yet challenging problem. While existing met…