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05/04/2023
Semisupervised regression in latent structure networks on unknown manifolds
Random graphs are increasingly becoming objects of interest for modeling...
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05/03/2023
Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics
The analysis of large-scale time-series network data, such as social med...
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01/18/2023
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection
In this paper we propose a novel and computationally efficient method to...
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08/29/2022
Dynamic Network Sampling for Community Detection
We propose a dynamic network sampling scheme to optimize block recovery ...
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05/13/2022
Discovering underlying dynamics in time series of networks
Understanding dramatic changes in the evolution of networks is central t...
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09/26/2021
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces
Much recent work in bilingual lexicon induction (BLI) views word embeddi...
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06/23/2021
Leveraging semantically similar queries for ranking via combining representations
In modern ranking problems, different and disparate representations of t...
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04/01/2021
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
Workplace communications around the world were drastically altered by Co...
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03/26/2021
Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes
Any modern network inference paradigm must incorporate multiple aspects ...
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08/23/2020
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
This paper considers the graph signal processing problem of anomaly dete...
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05/20/2020
Learning to rank via combining representations
Learning to rank – producing a ranked list of items specific to a query ...
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05/06/2019
Vertex Nomination, Consistent Estimation, and Adversarial Modification
Given a pair of graphs G_1 and G_2 and a vertex set of interest in G_1, ...
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04/05/2019
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering
Our problem of interest is to cluster vertices of a graph by identifying...
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08/23/2018
On a 'Two Truths' Phenomenon in Spectral Graph Clustering
Clustering is concerned with coherently grouping observations without an...
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06/04/2018
On estimation and inference in latent structure random graphs
We define a latent structure model (LSM) random graph as a random dot pr...
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03/06/2018
Matched Filters for Noisy Induced Subgraph Detection
We consider the problem of finding the vertex correspondence between two...
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09/16/2017
Statistical inference on random dot product graphs: a survey
The random dot product graph (RDPG) is an independent-edge random graph ...
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05/09/2017
Semiparametric spectral modeling of the Drosophila connectome
We present semiparametric spectral modeling of the complete larval Droso...
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05/01/2017
Vertex Nomination Via Local Neighborhood Matching
Consider two networks on overlapping, non-identical vertex sets. Given v...
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03/07/2015
Community Detection and Classification in Hierarchical Stochastic Blockmodels
We propose a robust, scalable, integrated methodology for community dete...
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02/11/2015
Fast Embedding for JOFC Using the Raw Stress Criterion
The Joint Optimization of Fidelity and Commensurability (JOFC) manifold ...
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06/24/2014
Techniques for clustering interaction data as a collection of graphs
A natural approach to analyze interaction data of form "what-connects-to...
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06/24/2014
Automatic Dimension Selection for a Non-negative Factorization Approach to Clustering Multiple Random Graphs
We consider a problem of grouping multiple graphs into several clusters ...
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01/16/2014
Seeded Graph Matching Via Joint Optimization of Fidelity and Commensurability
We present a novel approximate graph matching algorithm that incorporate...
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10/04/2013
Spectral Clustering for Divide-and-Conquer Graph Matching
We present a parallelized bijective graph matching algorithm that levera...
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05/21/2013
Out-of-sample Extension for Latent Position Graphs
We consider the problem of vertex classification for graphs constructed ...
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01/09/2013
On the Incommensurability Phenomenon
Suppose that two large, multi-dimensional data sets are each noisy measu...
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10/31/2012
