In today's era of information explosion, efficiently extracting valuable knowledge from vast amounts of data has become a significant challenge faced by both enterprises and individuals. On September ...

Youtu-GraphRAG achieves vertical unification and cognitive closure from graph construction to indexing and retrieval through three major innovations. First, it adopts a four-layer knowledge tree ...

Abstract: We investigate variability overweighting, a previously undocumented bias in line graphs, where estimates of average value are biased toward areas of higher variability in that line. We found ...

Abstract: In graph analysis area, the shortest path is vital, and recent research shows that the shortest paths counting is crucial in applications like potential friend recommendation and betweenness ...

This repository implements a Graph Neural Network (GNN) to predict patient length of stay using PyTorch Geometric. The implementation features advanced feature selection, interactive visualizations, ...

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