Search Results for author:
Found 3 papers, 1 papers with code
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.
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
