scholarly journals Amortized $\tilde{O}(|V|)$ -Delay Algorithm for Listing Chordless Cycles in Undirected Graphs

Author(s):  
Rui Ferreira ◽  
Roberto Grossi ◽  
Romeo Rizzi ◽  
Gustavo Sacomoto ◽  
Marie-France Sagot
Keyword(s):  
IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Liyan Chen ◽  
Samuel Cheng ◽  
Kanghang He ◽  
Vladimir Stankovic ◽  
Lina Stankovic
Keyword(s):  

1977 ◽  
Vol 65 (4) ◽  
pp. 562-570 ◽  
Author(s):  
G.S. Bloom ◽  
S.W. Golomb
Keyword(s):  

Author(s):  
Yuichi Sudo ◽  
Daisuke Baba ◽  
Junya Nakamura ◽  
Fukuhito Ooshita ◽  
Hirotsugu Kakugawa ◽  
...  
Keyword(s):  

Author(s):  
Erkko Lehtonen ◽  
Tamás Waldhauser

AbstractAssociative spectra of graph algebras are examined with the help of homomorphisms of DFS trees. Undirected graphs are classified according to the associative spectra of their graph algebras; there are only three distinct possibilities: constant 1, powers of 2, and Catalan numbers. Associative and antiassociative digraphs are described, and associative spectra are determined for certain families of digraphs, such as paths, cycles, and graphs on two vertices.


2014 ◽  
Vol 556-562 ◽  
pp. 5482-5487
Author(s):  
Hui Ran Zhang ◽  
Xiao Long Shen ◽  
Jiang Xie ◽  
Dong Bo Dai

Analyzing similarities and differences between biomolecular networks comparison through website intuitively could be a convenient and effective way for researchers. Although several network comparison visualization tools have been developed, none of them can be integrated into websites. In this paper, a web-based tool kit named dynamically adaptive Visualization of Biomolecular Network Comparison (Bio-NCV) is designed and developed. The proposed tool is based on Cytyoscape.js – a popular open-source library for analyzing and visualizing networks. Bio-NCV integrates arjor.js which including the Barnes-Hut algorithm and the Traer Physics library for processing in order to express the dynamically adaptive initialization. In addition, in order to maintain consistency, the counterparts in other networks will change while the nodes and edges in one of the compared networks change. Furthermore, Bio-NCV can deal with both directed and undirected graphs.


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