Publications related to The Power of Two Matrices in Spectral Algorithms for Community Recovery

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Beyond Graphs: A New Synthesis

Dario Floreano, Claudio Mattiussi, Daniel Marbach, Peter Dürr

Artiﬁcial neural networks, electronic circuits, and gene networks are some examples of systems that can be modeled as networks, that is, as collections of interconnected nodes. In this paper we introduce the concept of terminal graph (t-graph for short), w ...

2011

Methods for Clustering Multi-Layer Graphs in Mobile Networks

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

Clustering on graphs has been studied extensively for years due to its numerous applications. However, in contrast to the classic problems, clustering in mobile and online social networks brings new challenges. In these scenarios, it is common that observa ...

2011

Algebraic Algorithms for Vector Network Coding

Christina Fragouli, Javad Ebrahimi Boroojeni

We develop new algebraic algorithms for scalar and vector network coding. In vector network coding, the source multicasts information by transmitting vectors of length L, while intermediate nodes process and combine their incoming packets by multiplying th ...

Institute of Electrical and Electronics Engineers2011

Graphs that Admit Right Angle Crossing Drawings

Radoslav Fulek, Balázs Keszegh, Filip Moric

We consider right angle crossing (RAC) drawings of graphs in which the edges are represented by polygonal arcs and any two edges can cross only at a right angle. We show that if a graph with n vertices admits a RAC drawing with at most 1 bend or 2 bends pe ...

2010

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 and identifying defective items based on tests obtained for each pool. Motivated by applications in network tomography, sensor networks and infection propagati ...

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

Weighted Gossip: Distributed Averaging Using Non-Doubly Stochastic Matrices

Martin Vetterli, Patrick Thiran, Florence Bénézit

This paper presents a general class of gossip-based averaging algorithms, which are inspired from Uniform Gossip [1]. While Uniform Gossip works synchronously on complete graphs, weighted gossip algorithms allow asynchronous rounds and converge on any conn ...

IEEE2010

Split-critical and uniquely split-colorable graphs

Dominique de Werra, Bernard Ries, Tinaz Ekim

The split-coloring problem is a generalized vertex coloring problem where we partition the vertices into a minimum number of split graphs. In this paper, we study some notions which are extensively studied for the usual vertex coloring and the cocoloring p ...

2010

Algebraic techniques for deterministic networks

Christina Fragouli, Javad Ebrahimi Boroojeni

We here summarize some recent advances in the study of linear deterministic networks, recently proposed as approximations for wireless channels. This work started by extending the algebraic framework developed for multicasting over graphs in [1] to include ...

2010

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 and identifying defective items based on tests obtained for each pool. Motivated by applications in network tomography, sensor networks and infection propagati ...

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

The Power of Two Matrices in Spectral Algorithms for Community Recovery

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Beyond Graphs: A New Synthesis

Methods for Clustering Multi-Layer Graphs in Mobile Networks

Chebyshev polynomial approximation for transductive learning on graphs

Universal Sets for Straight-Line Embeddings of Bicolored Graphs

Algebraic Algorithms for Vector Network Coding

Graphs that Admit Right Angle Crossing Drawings

Graph-Constrained Group Testing

Weighted Gossip: Distributed Averaging Using Non-Doubly Stochastic Matrices

Split-critical and uniquely split-colorable graphs

Algebraic techniques for deterministic networks

Beyond Graphs: A New Synthesis

Chebyshev polynomial approximation for transductive learning on graphs

Graphs that Admit Right Angle Crossing Drawings

Graph-Constrained Group Testing

Weighted Gossip: Distributed Averaging Using Non-Doubly Stochastic Matrices

Split-critical and uniquely split-colorable graphs

Algebraic techniques for deterministic networks

Methods for Clustering Multi-Layer Graphs in Mobile Networks

Universal Sets for Straight-Line Embeddings of Bicolored Graphs

Algebraic Algorithms for Vector Network Coding