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A survey on the densest subgraph problem and its variants
The Densest Subgraph Problem requires us to find, in a given graph, a subset of vertices
whose induced subgraph maximizes a measure of density. The problem has received a …
whose induced subgraph maximizes a measure of density. The problem has received a …
A survey of graph layout problems
Graph layout problems are a particular class of combinatorial optimization problems whose
goal is to find a linear layout of an input graph in such way that a certain objective cost is …
goal is to find a linear layout of an input graph in such way that a certain objective cost is …
[KNYGA][B] Large networks and graph limits
L Lovász - 2012 - books.google.com
Recently, it became apparent that a large number of the most interesting structures and
phenomena of the world can be described by networks. To develop a mathematical theory of …
phenomena of the world can be described by networks. To develop a mathematical theory of …
Correlation clustering
We consider the following clustering problem: we have a complete graph on n vertices
(items), where each edge (u, v) is labeled either+ or− depending on whether u and v have …
(items), where each edge (u, v) is labeled either+ or− depending on whether u and v have …
[KNYGA][B] Complexity and approximation: Combinatorial optimization problems and their approximability properties
N COMPUTER applications we are used to live with approximation. Var I ious notions of
approximation appear, in fact, in many circumstances. One notable example is the type of …
approximation appear, in fact, in many circumstances. One notable example is the type of …
[KNYGA][B] Network analysis: methodological foundations
U Brandes - 2005 - books.google.com
'Network'is a heavily overloaded term, so that 'network analysis' means different things to
different people. Specific forms of network analysis are used in the study of diverse …
different people. Specific forms of network analysis are used in the study of diverse …
Property testing and its connection to learning and approximation
In this paper, we consider the question of determining whether a function f has property P or
is ε-far from any function with property P. A property testing algorithm is given a sample of …
is ε-far from any function with property P. A property testing algorithm is given a sample of …
Multicommodity max-flow min-cut theorems and their use in designing approximation algorithms
T Leighton, S Rao - Journal of the ACM (JACM), 1999 - dl.acm.org
In this paper, we establish max-flow min-cut theorems for several important classes of
multicommodity flow problems. In particular, we show that for any n-node multicommodity …
multicommodity flow problems. In particular, we show that for any n-node multicommodity …
Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees
Finding dense subgraphs is an important graph-mining task with many applications. Given
that the direct optimization of edge density is not meaningful, as even a single edge …
that the direct optimization of edge density is not meaningful, as even a single edge …
[HTML][HTML] Achieving quantum supremacy with sparse and noisy commuting quantum computations
The class of commuting quantum circuits known as IQP (instantaneous quantum polynomial-
time) has been shown to be hard to simulate classically, assuming certain complexity …
time) has been shown to be hard to simulate classically, assuming certain complexity …