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IndoorGNN: A Graph Neural Network based approach for Indoor Localization using WiFi RSSI
Commonly used technologies for indoor localization include WiFi, Bluetooth, RFID, and Ultra-wideband.
eBIM-GNN : Fast and Scalable energy analysis through BIMs and Graph Neural Networks
Building Information Modeling has been used to analyze as well as increase the energy efficiency of the buildings.
GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation
In this paper we employ Graph Neural Networks for battery parameter estimation, we introduce a unique graph autoencoder time series estimation approach.
Learning Graph Representations
Social and information networks are gaining huge popularity recently due to their various applications.
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