Publications related to Time-resolved analysis of dynamic graphs: an extended Slepian design

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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

The Sketching Complexity of Graph and Hypergraph Counting

Mikhail Kapralov, John Michael Goddard Kallaugher

Subgraph counting is a fundamental primitive in graph processing, with applications in social network analysis (e.g., estimating the clustering coefficient of a graph), database processing and other areas. The space complexity of subgraph counting has been ...

IEEE COMPUTER SOC2018

Learning time varying graphs

Pascal Frossard, Andreas Loukas, Vasilis Kalofolias

We consider the problem of inferring the hidden structure of high-dimensional dynamic systems from the perspective of graph learning. In particular, we aim at capturing the dynamic relationships between nodes by a sequence of graphs. Our approach is motiva ...

Ieee2017

Scaling a Reliable Distributed System

Alexandre David Olivier Maurer

We consider the problem of reliably connecting an arbitrarily large set of computers (nodes) with communication channels. Reliability means here the ability, for any two nodes, to remain connected (i.e., their ability to communicate) with probability at le ...

LPD EPFL2016

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

Call Graphs for Languages with Parametric Polymorphism

Martin Odersky, Vlad Ureche, Dmytro Petrashko

The performance of contemporary object oriented languages depends on optimizations such as devirtualization, inlining, and specialization, and these in turn depend on precise call graph analysis. Existing call graph analyses do not take advantage of the in ...

2016

Clustered planarity testing revisited

Radoslav Fulek, Jan Kyncl, Igor Malinovic

The Hanani--Tutte theorem is a classical result proved for the first time in the 1930s that characterizes planar graphs as graphs that admit a drawing in the plane in which every pair of edges not sharing a vertex cross an even number of times. We generali ...

2015

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

Effect Analysis for Programs with Callbacks

Viktor Kuncak, Etienne Kneuss, Philippe Paul Henri Suter

We introduce a precise interprocedural effect analysis for programs with mutable state, dynamic object allocation, and dynamic dispatch. Our analysis is precise even in the presence of dynamic dispatch where the context-insensitive estimate on the number o ...

Springer Berlin Heidelberg2013

Time-resolved analysis of dynamic graphs: an extended Slepian design

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Statistical Physics Methods for Community Detection

Subadditivity Beyond Trees and the Chi-Squared Mutual Information

The Sketching Complexity of Graph and Hypergraph Counting

Learning time varying graphs

Scaling a Reliable Distributed System

Assembling a Network out of Ambiguous Patches

Call Graphs for Languages with Parametric Polymorphism

Clustered planarity testing revisited

A Bayesian Method for Matching Two Similar Graphs without Seeds

Effect Analysis for Programs with Callbacks

The Sketching Complexity of Graph and Hypergraph Counting

Statistical Physics Methods for Community Detection

Assembling a Network out of Ambiguous Patches

A Bayesian Method for Matching Two Similar Graphs without Seeds

Subadditivity Beyond Trees and the Chi-Squared Mutual Information

Learning time varying graphs

Scaling a Reliable Distributed System

Call Graphs for Languages with Parametric Polymorphism

Clustered planarity testing revisited

Effect Analysis for Programs with Callbacks