Mar 8, 2021 · Abstract:Higher-order network analysis uses the ideas of hypergraphs, simplicial complexes, multilinear and tensor algebra, and more, ...

Higher-order network analysis uses the ideas of hypergraphs, simplicial complexes, multilinear and tensor algebra, and more, to study complex systems.

Mar 8, 2021 · The goal in this paper is to provide a succinct yet comprehensive summary of the advanced higher-order network analysis techniques, ...

Bibliographic details on Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data.

"Higher-order network analysis takes off, fueled by classical ideas and new data. ... "Self-driven graph volterra models for higher-order link prediction.

Jun 19, 2024 · Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data. ... Tools for higher-order network analysis. CoRR abs ...

Higham, Higher-Order Network Analysis Takes Off, Fueled by Classical Ideas ... data analysis to networks and other irregular domains, IEEE Signal Process.

Apr 9, 2024 · ... order network analysis takes off, fueled by classical ideas and new data. ... high-dimensional data analysis to networks and other irregular data ...

Here, we propose a novel neural network model, termed HIgher-order Temporal structure predictor (HIT) to predict higher-order patterns in temporal hypergraphs.