Publications related to Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals

Intelligent Clustering for Graph Visualization

More and more areas use graphs for the representation of their data because it gives a connection-oriented perspective. Unfortunately, datasets are constantly growing in size, while devices have increasingly smaller screens (tablets, smartphones, etc). In ...

2013

Graph-Based Information Processing

Amin Karbasi

We live in a world characterized by massive information transfer and real-time communication. The demand for efficient yet low-complexity algorithms is widespread across different fields, including machine learning, signal processing and communications. Mo ...

EPFL2012

Graph-Constrained Group Testing

Amin Karbasi, Mahdi Cheraghchi Bashi Astaneh, Soheil Mohajerzefreh

Non-adaptive group testing involves grouping arbitrary subsets of

n

items into different pools. Each pool is then tested and defective items are identified. A fundamental question involves minimizing the number of pools required to identify at most

d

d ...

2012

Clustering with Multi-Layer Graphs: A Spectral Perspective

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

Observational data usually comes with a multimodal nature, which means that it can be naturally represented by a multi-layer graph whose layers share the same set of vertices (users) with different edges (pairwise relationships). In this paper, we address ...

Institute of Electrical and Electronics Engineers2012

Altered structural connectivity in patients with medial temporal lobe epilepsy: A Diffusion Spectrum Imaging and Graph Analysis study

Jean-Philippe Thiran, Alessandra Griffa, Alessandro Daducci, Alia Lemkaddem

In this study we investigated the effect of medial temporal lobe epilepsy (MTLE) on the global characteristics of brain connectivity estimated by topological measures. We used DSI (Diffusion Spectrum Imaging) to construct a connectivity matrix where the no ...

2012

Information Processing and Structure of Dynamical Networks

Ali Ajdari Rad

Networks are everywhere and we are confronted with many networks in our daily life. Networks such as Internet, World Wide Web, social, biological and economical networks have been subject to extensive studies in the last decade. The volume of publications ...

EPFL2011

A lower bound for algebraic connectivity based on the connection-graph-stability method

Martin Hasler, Ali Ajdari Rad, Mahdi Jalili

This paper introduces the connection-graph-stability method and uses it to establish a new lower bound on the algebraic connectivity of graphs (the second smallest eigenvalue of the Laplacian matrix of the graph) that is sharper than the previously publish ...

Elsevier2011

Degraded two-message multicast over graphs

Christina Fragouli, Shirin Saeedi Bidokhti

We consider communication of two degraded mes- sage sets over graphs where a common source sends two prioritized messages (a common and a private message) to several receivers. All receivers require the common message and a subset of the receivers require ...

2011

Degraded two-message multicast over graphs

Christina Fragouli, Shirin Saeedi Bidokhti

In this work we consider a graph G where a common source sends two messages W1 and W2 to several receivers D1, D2, . . . , DK. The first two receivers D1 and D2 would like to receive message W1, while receivers D3, . . . , DK would like to receive both mes ...

2011

Automatic skill acquisition in Reinforcement Learning using connection graph stability centrality

Martin Hasler, Ali Ajdari Rad

Reinforcement Learning (RL) is an approach for training agent's behavior through trial-and-error interactions with a dynamic environment. An important problem of RL is that in large domains an enormous number of decisions are to be made. Hence, instead of ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals

Graph Chatbot

Chat with Graph Search

Intelligent Clustering for Graph Visualization

Graph-Based Information Processing

Graph-Constrained Group Testing

Clustering with Multi-Layer Graphs: A Spectral Perspective

Altered structural connectivity in patients with medial temporal lobe epilepsy: A Diffusion Spectrum Imaging and Graph Analysis study

Information Processing and Structure of Dynamical Networks

A lower bound for algebraic connectivity based on the connection-graph-stability method

Degraded two-message multicast over graphs

Degraded two-message multicast over graphs

Automatic skill acquisition in Reinforcement Learning using connection graph stability centrality

Graph-Based Information Processing

Graph-Constrained Group Testing

Intelligent Clustering for Graph Visualization

A lower bound for algebraic connectivity based on the connection-graph-stability method

Automatic skill acquisition in Reinforcement Learning using connection graph stability centrality

Information Processing and Structure of Dynamical Networks

Degraded two-message multicast over graphs

Altered structural connectivity in patients with medial temporal lobe epilepsy: A Diffusion Spectrum Imaging and Graph Analysis study

Clustering with Multi-Layer Graphs: A Spectral Perspective

Degraded two-message multicast over graphs