Publications related to Graph Learning with Partial Observations: Role of Degree Concentration

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Graph learning under sparsity priors

Pascal Frossard, Hermina Petric Maretic

Graph signals offer a very generic and natural representation for data that lives on networks or irregular structures. The actual data structure is however often unknown a priori but can sometimes be estimated from the knowledge of the application domain. ...

Ieee2017

System, device, and method for contextual knowledge retrieval and display

Pierre Vandergheynst, Kirell Maël Benzi, Benjamin Ricaud

A method to extract patterns of activity from time series of data structured as a network of objects, the method comprising the steps of creating a base graph of similar or related items from a given corpus by comparing intrinsic features of the items, com ...

2017

Assembling a Network out of Ambiguous Patches

Matthias Grossglauser, Lyudmila Yartseva, Jefferson Elbert Simões

Many graph mining and network analysis problems rely on the availability of the full network over a set of nodes. But inferring a full network is sometimes non-trivial if the raw data is in the form of many small {\em patches} or subgraphs, of the true net ...

2016

Tracking Time-Vertex Propagation using Dynamic Graph Wavelets

Nathanaël Perraudin, Benjamin Ricaud, Francesco Grassi

Graph Signal Processing generalizes classical signal processing to signal or data indexed by the vertices of a weighted graph. So far, the research efforts have been focused on static graph signals. However numerous applications involve graph signals evolv ...

2016

Learning Laplacian Matrix in Smooth Graph Signal Representations

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

The construction of a meaningful graph plays a crucial role in the success of many graph-based representations and algorithms for handling structured data, especially in the emerging field of graph signal processing. However, a meaningful graph is not alwa ...

Institute of Electrical and Electronics Engineers2016

Graph-Based Representation and Coding of Multiview Images

Pascal Frossard, Bénédicte Motz

Instead of lossily coding depth images resulting in undesirable geometric distortion, graph-based representation (GBR) describes disparity information as a graph with a controllable accuracy. In this paper, we propose a more compact graphical representatio ...

Ieee2016

Infectious Disease Containment Based on a Wireless Sensor System

Marcel Salathé, Xiao Sun

Infectious diseases pose a serious threat to public health due to its high infectivity and potentially high mortality. One of the most effective ways to protect people from being infected by these diseases is through vaccination. However, due to various re ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Signal-Adapted Tight Frames on Graphs

Dimitri Nestor Alice Van De Ville, Hamid Behjat

The analysis of signals on complex topologies modeled by graphs is a topic of increasing importance. Decompositions play a crucial role in the representation and processing of such information. Here, we propose a new tight frame design that is adapted to a ...

Institute of Electrical and Electronics Engineers2016

Graph-based compression of dynamic 3D point cloud sequences

Pascal Frossard

This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud frames are similar, motion estimation is key to effective compression of th ...

Institute of Electrical and Electronics Engineers2016

Graph Learning with Partial Observations: Role of Degree Concentration

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Chat with Graph Search

Graph learning under sparsity priors

System, device, and method for contextual knowledge retrieval and display

Assembling a Network out of Ambiguous Patches

Tracking Time-Vertex Propagation using Dynamic Graph Wavelets

Deconvolution of Gaussian Random Fields using the Graph Fourier Transform

Learning Laplacian Matrix in Smooth Graph Signal Representations

Graph-Based Representation and Coding of Multiview Images

Infectious Disease Containment Based on a Wireless Sensor System

Signal-Adapted Tight Frames on Graphs

Graph-based compression of dynamic 3D point cloud sequences

Graph learning under sparsity priors

Assembling a Network out of Ambiguous Patches

Deconvolution of Gaussian Random Fields using the Graph Fourier Transform

Signal-Adapted Tight Frames on Graphs

Graph-Based Representation and Coding of Multiview Images

Infectious Disease Containment Based on a Wireless Sensor System

Graph-based compression of dynamic 3D point cloud sequences

Tracking Time-Vertex Propagation using Dynamic Graph Wavelets

System, device, and method for contextual knowledge retrieval and display

Learning Laplacian Matrix in Smooth Graph Signal Representations