Compact Representation of Graphs of Small Clique-Width
The notion of clique-width for graphs offers many research topics and has received considerable attention in the past decade. A graph has clique-width k if it can be represented as an algebraic expression on k labels associated with its vertices. Many computationally hard problems can be solved in p...
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Published in: | Algorithmica Vol. 80; no. 7; pp. 2106 - 2131 |
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Language: | English |
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01-07-2018
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Abstract | The notion of clique-width for graphs offers many research topics and has received considerable attention in the past decade. A graph has clique-width
k
if it can be represented as an algebraic expression on
k
labels associated with its vertices. Many computationally hard problems can be solved in polynomial time for graphs of bounded clique-width. Interestingly also, many graph families have bounded clique-width. In this paper, we consider the problem of preprocessing a graph of size
n
and clique-width
k
to build space-efficient data structures that support basic graph navigation queries. First, by way of a counting argument, which is of interest in its own right, we prove the space requirement of any representation is
Ω
(
k
n
)
. Then we present a navigation oracle which answers adjacency query in constant time and neighborhood queries in constant time per neighbor. This oracle uses
O
(
kn
) space (i.e.,
O
(
kn
) bits). We also present a degree query which reports the degree of each given vertex in
O
(
k
log
∗
(
n
)
)
time using
O
(
k
n
log
∗
(
n
)
)
bits. |
---|---|
AbstractList | The notion of clique-width for graphs offers many research topics and has received considerable attention in the past decade. A graph has clique-width
k
if it can be represented as an algebraic expression on
k
labels associated with its vertices. Many computationally hard problems can be solved in polynomial time for graphs of bounded clique-width. Interestingly also, many graph families have bounded clique-width. In this paper, we consider the problem of preprocessing a graph of size
n
and clique-width
k
to build space-efficient data structures that support basic graph navigation queries. First, by way of a counting argument, which is of interest in its own right, we prove the space requirement of any representation is
Ω
(
k
n
)
. Then we present a navigation oracle which answers adjacency query in constant time and neighborhood queries in constant time per neighbor. This oracle uses
O
(
kn
) space (i.e.,
O
(
kn
) bits). We also present a degree query which reports the degree of each given vertex in
O
(
k
log
∗
(
n
)
)
time using
O
(
k
n
log
∗
(
n
)
)
bits. The notion of clique-width for graphs offers many research topics and has received considerable attention in the past decade. A graph has clique-width k if it can be represented as an algebraic expression on k labels associated with its vertices. Many computationally hard problems can be solved in polynomial time for graphs of bounded clique-width. Interestingly also, many graph families have bounded clique-width. In this paper, we consider the problem of preprocessing a graph of size n and clique-width k to build space-efficient data structures that support basic graph navigation queries. First, by way of a counting argument, which is of interest in its own right, we prove the space requirement of any representation is Ω(kn). Then we present a navigation oracle which answers adjacency query in constant time and neighborhood queries in constant time per neighbor. This oracle uses O(kn) space (i.e., O(kn) bits). We also present a degree query which reports the degree of each given vertex in O(klog∗(n)) time using O(knlog∗(n)) bits. |
Author | Kamali, Shahin |
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Cites_doi | 10.1016/S0012-365X(03)00295-4 10.1142/S0129054100000260 10.1007/s00453-010-9452-7 10.1016/S0166-218X(99)00184-5 10.1016/j.dam.2008.08.022 10.1016/j.disc.2008.01.022 10.1016/j.entcs.2003.12.002 10.1090/fim/019 10.1007/s00453-012-9664-0 10.1007/s00453-015-0047-1 10.1137/S0097539701385351 10.1007/s002249910009 10.1016/S0166-218X(02)00421-3 10.1007/s00453-012-9712-9 10.1145/2601073 10.1145/1109557.1109599 10.1007/978-3-642-25591-5_32 10.1007/978-3-642-17514-5_27 10.1007/978-3-642-13509-5_13 |
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Keywords | Compact representation Navigation oracles Clique-width |
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References | CR2 Spinrad (CR20) 2003 CR4 Golumbic, Rotics (CR13) 2000; 11 Munro, Nicholson (CR18) 2016; 76 CR3 Barbay, Aleardi, He, Munro (CR1) 2012; 62 Courcelle, Makowsky, Rotics (CR6) 2000; 33 Courcelle, Vanicat (CR8) 2003; 131 CR9 Corneil, Rotics (CR5) 2005; 34 Farzan, Munro (CR12) 2014; 68 CR14 Navarro, Sadakane (CR19) 2014; 10 Farzan, Kamali (CR11) 2014; 69 Meer, Rautenbach (CR16) 2009; 309 CR10 Kaminski, Lozin, Milanic (CR15) 2009; 157 Witten, Moffat, Bell (CR22) 1999 Munro (CR17) 2004; 91 Vanherpe (CR21) 2004; 276 Courcelle, Olariu (CR7) 2000; 101 G Navarro (365_CR19) 2014; 10 MC Golumbic (365_CR13) 2000; 11 365_CR4 JP Spinrad (365_CR20) 2003 DG Corneil (365_CR5) 2005; 34 B Courcelle (365_CR7) 2000; 101 M Kaminski (365_CR15) 2009; 157 365_CR9 365_CR14 365_CR2 365_CR10 365_CR3 B Courcelle (365_CR8) 2003; 131 A Farzan (365_CR11) 2014; 69 IH Witten (365_CR22) 1999 A Farzan (365_CR12) 2014; 68 J Barbay (365_CR1) 2012; 62 B Courcelle (365_CR6) 2000; 33 J-M Vanherpe (365_CR21) 2004; 276 K Meer (365_CR16) 2009; 309 JI Munro (365_CR18) 2016; 76 JI Munro (365_CR17) 2004; 91 |
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Snippet | The notion of clique-width for graphs offers many research topics and has received considerable attention in the past decade. A graph has clique-width
k
if it... The notion of clique-width for graphs offers many research topics and has received considerable attention in the past decade. A graph has clique-width k if it... |
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SubjectTerms | Algorithm Analysis and Problem Complexity Algorithms Computer Science Computer Systems Organization and Communication Networks Data structures Data Structures and Information Theory Graphical representations Graphs Mathematics of Computing Navigation Preprocessing Queries Special Issue on Compact Data Structures Theory of Computation |
Title | Compact Representation of Graphs of Small Clique-Width |
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