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 ...
Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...
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