Abstract: Graph Neural Networks (GNNs) demonstrate remarkable learning efficacy on graph-structured data across various real-world domains. However, due to large-scale graph datasets, it is ...
Abstract: Efficiently processing large-scale graphs for information retrieval tasks presents a formidable hurdle, demanding innovative solutions for enhancing user experiences. This paper introduces a ...
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