Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2019

Spectral Partitioning of Time-varying Networks with Unobserved Edges.

[BibT_eX]

[DOI]

Michael T. Schaub

Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2019

An Underparametrized Deep Decoder Architecture for Graph Signals.

[BibT_eX]

[DOI]

Samuel Rey

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

HodgeNet: Graph Neural Networks for Edge Data.

[BibT_eX]

[DOI]

T. Mitchell Roddenberry

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Hierarchical Overlapping Clustering of Network Data Using Cut Metrics.

[BibT_eX]

[DOI]

Fernando Gama

Fernando Jose Iglesias Garcia

IEEE Trans. Signal Inf. Process. over Networks, 2018

Stylometric analysis of Early Modern period English plays.

[BibT_eX]

[DOI]

Digit. Scholarsh. Humanit., 2018

Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals.

[BibT_eX]

[DOI]

CoRR, 2018

Hierarchical clustering of asymmetric networks.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2018

Network Topology Inference From Input-Output Diffusion Pairs.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Community Detection from Low-Rank Excitations of a Graph Filter.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Identifying Undirected Network Structure via Semidefinite Relaxation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Enhancing Geometric Deep Learning via Graph Filter Deconvolution.

[BibT_eX]

[DOI]

Jingkang Yang

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space.

[BibT_eX]

[DOI]

Michael T. Schaub

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Directed Network Topology Inference via Graph Filter Identification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Blind Identification of Graph Filters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Stationary Graph Processes and Spectral Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Network Topology Inference from Spectral Templates.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2017

Centrality measures for graphons.

[BibT_eX]

[DOI]

CoRR, 2017

Network topology inference from non-stationary graph signals.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Robust network topology inference.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Stationary graph processes: Parametric power spectral estimation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Graph-signal reconstruction and blind deconvolution for diffused sparse inputs.

[BibT_eX]

[DOI]

David Ramírez

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Network inference from consensus dynamics.

[BibT_eX]

[DOI]

Michael T. Schaub

Ali Jadbabaie

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Design of weighted median graph filters.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Joint inference of networks from stationary graph signals.

[BibT_eX]

[DOI]

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Stability and Continuity of Centrality Measures in Weighted Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Reconstruction of Graph Signals Through Percolation from Seeding Nodes.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Sampling of Graph Signals With Successive Local Aggregations.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Excisive Hierarchical Clustering Methods for Network Data.

[BibT_eX]

[DOI]

CoRR, 2016

Network topology identification from spectral templates.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Stationary graph processes: Nonparametric spectral estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Linear network operators using node-variant graph filters.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Blind identification of graph filters with multiple sparse inputs.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Space-shift sampling of graph signals.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Diffusion filtering of graph signals and its use in recommendation systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Overlapping clustering of network data using cut metrics.

[BibT_eX]

[DOI]

Fernando Gama

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Center-weighted median graph filters.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Network topology identification from imperfect spectral templates.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Authorship Attribution Through Function Word Adjacency Networks.

[BibT_eX]

[DOI]

Mark Eisen

IEEE Trans. Signal Process., 2015

Diffusion and Superposition Distances for Signals Supported on Networks.

[BibT_eX]

[DOI]

Weiyu Huang

IEEE Trans. Signal Inf. Process. over Networks, 2015

Distributed Linear Network Operators using Graph Filters.

[BibT_eX]

[DOI]

CoRR, 2015

Reconstruction of graph signals: Percolation from a single seeding node.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Interpolation of graph signals using shift-invariant graph filters.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

Blind identification of graph filters with sparse inputs.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Aggregation sampling of graph signals in the presence of noise.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Distributed implementation of linear network operators using graph filters.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Sampling of graph signals: Successive local aggregations at a single node.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Diffusion distance for signals supported on networks.

[BibT_eX]

[DOI]

Weiyu Huang

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Hierarchical Quasi-Clustering Methods for Asymmetric Networks.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

A stable betweenness centrality measure in networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Dithering and betweenness centrality in weighted graphs.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Authorship attribution using function words adjacency networks.

[BibT_eX]

[DOI]

Mark Eisen

Proceedings of the IEEE International Conference on Acoustics, 2013

Axiomatic construction of hierarchical clustering in asymmetric networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Alternative axiomatic constructions for hierarchical clustering of asymmetric networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Hierarchical clustering and consensus in trust networks.

[BibT_eX]

[DOI]