Abstract: Link prediction for directed graphs is a crucial task with diverse real-world applications. Recent advances in embedding methods and Graph Neural Networks (GNNs) have shown promising ...

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Abstract: In several applications the information is naturally represented by graphs. Traditional approaches cope with graphical data structures using a preprocessing phase which transforms the graphs ...

Development version: This branch contains the code for the upcoming 1.0 release. For the code of the current stable 0.9 release, check out the 0.9.x branch. The upcoming 1.0 release will be the way ...

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This cross-sectional study examined 1,276 Chinese secondary school students and aimed to (i) estimate the undirected item-level network structure of PA and AGG, (ii) identify central and predictable ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...