Abstract: Many disciplines depend on knowledge graphs to represent and arrange organized data. Nevertheless, understanding knowledge graphs is still quite difficult because of their intricate ...
Abstract: Graph representation learning has numerous applications, ranging from social networks to bioinformatics, with a major focus on Graph Neural Networks (GNNs). However, many GNN models face ...
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