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Found 3 papers, 1 papers with code
A local geometry of hyperedges in hypergraphs, and its applications to social networks
In this paper, we introduce a new local geometry of hyperdges in hypergraphs which allows to capture higher order relations among data points.
Weight Prediction for Variants of Weighted Directed Networks
We introduce, for the first time, a metric geometry approach to studying edge weight prediction in WDNs.
Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homology
Also based on the topological space structure of hypergraph data introduced in our paper, we introduce a modified nearest neighbors methods which is a generalization of the classical nearest neighbors methods from machine learning.
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