Abstract: This letter introduces a novel approach for graph classification in the context of sensor network data analysis using machine learning methods. It is based on exploiting both sensor ...
This dataset comprises street network graphs for 120 diverse cities across continents including North America, South America, Europe, Asia, Africa, Australia & Oceania, and others like the Middle East ...
Abstract: Class imbalance in graph neural networks (GNNs) poses a significant challenge for node classification tasks, often resulting in poor performance on minority classes due to the ...
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