scholarly journals The factorial representation of balanced labelled graphs

1976 ◽  
Vol 15 (4) ◽  
pp. 379-388 ◽  
Author(s):  
David A. Sheppard
2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Jördis-Ann Schüler ◽  
Steffen Rechner ◽  
Matthias Müller-Hannemann

AbstractAn important task in cheminformatics is to test whether two molecules are equivalent with respect to their 2D structure. Mathematically, this amounts to solving the graph isomorphism problem for labelled graphs. In this paper, we present an approach which exploits chemical properties and the local neighbourhood of atoms to define highly distinctive node labels. These characteristic labels are the key for clever partitioning molecules into molecule equivalence classes and an effective equivalence test. Based on extensive computational experiments, we show that our algorithm is significantly faster than existing implementations within , and . We provide our Java implementation as an easy-to-use, open-source package (via GitHub) which is compatible with . It fully supports the distinction of different isotopes and molecules with radicals.


2017 ◽  
Vol 61 ◽  
pp. 819-825 ◽  
Author(s):  
Joshua Lockhart ◽  
Otfried Gühne ◽  
Simone Severini

Author(s):  
Giovanni Bellettini ◽  
Valentina Beorchia ◽  
Maurizio Paolini ◽  
Franco Pasquarelli

2009 ◽  
Vol 18 (4) ◽  
pp. 583-599 ◽  
Author(s):  
COLIN McDIARMID

A minor-closed class of graphs is addable if each excluded minor is 2-connected. We see that such a classof labelled graphs has smooth growth; and, for the random graphRnsampled uniformly from then-vertex graphs in, the fragment not in the giant component asymptotically has a simple ‘Boltzmann Poisson distribution’. In particular, asn→ ∞ the probability thatRnis connected tends to 1/A(ρ), whereA(x) is the exponential generating function forand ρ is its radius of convergence.


Computing ◽  
1976 ◽  
Vol 16 (1-2) ◽  
pp. 113-137 ◽  
Author(s):  
M. Nagl

Author(s):  
T. Tharma Raj ◽  
◽  
P.B.Sara sija
Keyword(s):  

1991 ◽  
Vol 97 (1-3) ◽  
pp. 301-317 ◽  
Author(s):  
E. Mendelsohn ◽  
N. Shalaby
Keyword(s):  

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