activity
20162026
most citedGraph-based Semi-Supervised & Active Learning for Edge Flows

60 citations · 238 across the 78 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

cs.CL2016

Stylometric Analysis of Early Modern Period English Plays

Mark Eisen, Santiago Segarra, Gabriel Egan +1

Function word adjacency networks (WANs) are used to study the authorship of plays from the Early Modern English period. In these networks, nodes are function words and directed edg…

cs.SI2016

Network Topology Inference from Spectral Templates

Santiago Segarra, Antonio G. Marques, Gonzalo Mateos +1

We address the problem of identifying a graph structure from the observation of signals defined on its nodes. Fundamentally, the unknown graph encodes direct relationships between…

cs.LG2016★ 3 cited

Excisive Hierarchical Clustering Methods for Network Data

Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1

We introduce two practical properties of hierarchical clustering methods for (possibly asymmetric) network data: excisiveness and linear scale preservation. The latter enforces imp…

cs.LG2016

Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks

Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1

This paper characterizes hierarchical clustering methods that abide by two previously introduced axioms -- thus, denominated admissible methods -- and proposes tractable algorithms…

cs.LG2016

Hierarchical Clustering of Asymmetric Networks

Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1

This paper considers networks where relationships between nodes are represented by directed dissimilarities. The goal is to study methods that, based on the dissimilarity structure…

cs.SI2016

Network Topology Identification from Spectral Templates

Santiago Segarra, Antonio G. Marques, Gonzalo Mateos +1

Network topology inference is a cornerstone problem in statistical analyses of complex systems. In this context, the fresh look advocated here permeates benefits from convex optimi…