Abstract: We revisit semi-supervised learning on hypergraphs. Same as previous approaches, our method uses a convex program whose objective function is not everywhere differentiable. We exploit the ...

Hypergraphs provide an effective abstraction for modeling multi-way group interactions among nodes, where each hyperedge can connect any number of nodes. Different from most existing studies which ...

If you’ve ever studied network theory or graph theory, you might be familiar with the concept of graphs. Graphs are mathematical structures that represent a collection of objects and the relationships ...

To visualize a simple hypergraph, just define the nodes, the hyperlinks and the weight of each node in their respective hyperlinks. var graph={} graph.nodes= [ {"id ...

This repository contains the scripts, data and (pre-processed) figures from the : Uplifting edges in higher order networks: spectral centralities in non-uniform hypergraphs" paper by G. Contreras-Aso, ...