8 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 7 cited
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows
Yuxiao Qu, Jinmeng Rao, Song Gao +6
Understanding and measuring the resilience of food supply networks is a global imperative to tackle increasing food insecurity. However, the complexity of these networks, with thei…
cs.SI2022★ 8 cited
Measuring Network Resilience via Geospatial Knowledge Graph: a Case Study of the US Multi-Commodity Flow Network
Jinmeng Rao, Song Gao, Michelle Miller +1
Quantifying the resilience in the food system is important for food security issues. In this work, we present a geospatial knowledge graph (GeoKG)-based method for measuring the re…