Abstract: Most well-known graph-based dimensionality re-duction algorithms, such as t-SNE and UMAP, use a two-step approach: first to construct a graph out of the high-dimensional data and then to ...

Abstract: With the rapid growth of information, large amounts of graph-structured data have been generated. As an important task in graph-structured data research, node classification, which aims to ...

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Large Language Models (LLMs) have transformed how we interact with information. However, their reliance solely on internal knowledge can limit the accuracy and depth of their responses, especially ...