Publications related to Learning time varying graphs

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Subadditivity Beyond Trees and the Chi-Squared Mutual Information

Emmanuel Abbé, Enric Boix Adsera

Evans et al. [1] proved the subadditivity of the mutual information in the broadcasting on tree model with binary vertex labels and symmetric edge channels. They raised the question of whether such subadditivity extends to loopy graphs in some appropriate ...

IEEE2019

Stationary signal processing on graphs

Pierre Vandergheynst, Nathanaël Perraudin

Graphs are a central tool in machine learning and information processing as they allow to conveniently capture the structure of complex datasets. In this context, it is of high importance to develop flexible models of signals defined over graphs or network ...

Institute of Electrical and Electronics Engineers2017

Principal Patterns on Graphs: Discovering Coherent Structures in Datasets

Pierre Vandergheynst, Kirell Maël Benzi, Benjamin Ricaud

Graphs are now ubiquitous in almost every field of research. Recently, new research areas devoted to the analysis of graphs and data associated to their vertices have emerged. Focusing on dynamical processes, we propose a fast, robust and scalable framewor ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation

Pierre Vandergheynst, Kirell Maël Benzi, Xavier Bresson, Vasilis Kalofolias

This work formulates a novel song recommender system as a matrix completion problem that benefits from collaborative filtering through Non-negative Matrix Factorization (NMF) and content-based filtering via total variation (TV) on graphs. The graphs encode ...

Ieee2016

Coloring Relatives of Interval Overlap Graphs via On-line Games

Bartosz Maria Walczak

The main goal of this paper is to formalize and explore a connection between chromatic properties of graphs defined by geometric representations and competitivity analysis of on-line algorithms. This connection became apparent after the recent construction ...

Springer-Verlag Berlin2014

A Bayesian Method for Matching Two Similar Graphs without Seeds

Matthias Grossglauser, Pedram Pedarsani

Approximate graph matching (AGM) refers to the problem of mapping the vertices of two structurally similar graphs, which has applications in social networks, computer vision, chemistry, and biology. Given its computational cost, AGM has mostly been limited ...

2013

Learning of Structured Graph Dictionaries

Pascal Frossard, Xiaowen Dong, Xue Zhang

We propose a method for learning dictionaries towards sparse approximation of signals defined on vertices of arbitrary graphs. Dictionaries are expected to describe effectively the main spatial and spectral components of the signals of interest, so that th ...

2012

Graph Transformations preserving the stability number

Dominique de Werra

We analyze the relations between several graph transformations that were introduced to be used in procedures determining the stability number of a graph. We show that all these transformations can be decomposed into a sequence of edge deletions and twin de ...

Elsevier Science Bv2012

Learning time varying graphs

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Subadditivity Beyond Trees and the Chi-Squared Mutual Information

Stationary signal processing on graphs

Principal Patterns on Graphs: Discovering Coherent Structures in Datasets

Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation

Coloring Relatives of Interval Overlap Graphs via On-line Games

A Bayesian Method for Matching Two Similar Graphs without Seeds

THE NUMBER OF EDGES IN k-QUASI-PLANAR GRAPHS

Graphs That Admit Polyline Drawings with Few Crossing Angles

Learning of Structured Graph Dictionaries

Graph Transformations preserving the stability number

Coloring Relatives of Interval Overlap Graphs via On-line Games

Stationary signal processing on graphs

Principal Patterns on Graphs: Discovering Coherent Structures in Datasets

THE NUMBER OF EDGES IN k-QUASI-PLANAR GRAPHS

A Bayesian Method for Matching Two Similar Graphs without Seeds

Graphs That Admit Polyline Drawings with Few Crossing Angles

Learning of Structured Graph Dictionaries

Graph Transformations preserving the stability number

Subadditivity Beyond Trees and the Chi-Squared Mutual Information

Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation