Results 31 to 40 of about 2,268 (146)

Negation Switching Equivalence in Signed Graphs [PDF]

open access: yes, 2010
Unless mentioned or defined otherwise, for all terminology and notion in graph theory the reader is refer to [8].
Reddy, Siva Kota
core   +1 more source

A Note on Path Signed Digraphs [PDF]

open access: yes, 2010
The concept of a line signed digraph is generalized to that of a path signed ...
S. Vijay   +5 more
core   +1 more source

Coloring problem of signed interval graphs [PDF]

open access: yesTransactions on Combinatorics, 2019
A signed graph $(G,\sigma)$ is a graph‎ ‎together with an assignment of signs $\{+,-\}$ to its edges where‎ ‎$\sigma$ is the subset of its negative edges‎.
Farzaneh Ramezani
doaj   +1 more source

Smarandachely antipodal signed digraphs [PDF]

open access: yes, 2010
For standard terminology and notion in digraph theory, we refer the reader to the classic text-books of Bondy and Murty [1] and Harary et al.[3]; the non-standard will be given in this paper as and when ...
Salestina, M. Ruby   +5 more
core   +1 more source

On net-Laplacian energy of signed graphs

open access: yesCommunications in Combinatorics and Optimization, 2017
A signed graph is a graph where the edges are assigned either positive or negative signs‎. ‎Net degree of a signed graph is the difference between the number of positive and negative edges incident with a vertex‎. ‎It is said to be net-regular if all its
Nutan G‎. ‎Nayak
doaj   +1 more source

Learning Weight Signed Network Embedding with Graph Neural Networks

open access: yesData Science and Engineering, 2023
Network embedding aims to map nodes in a network to low-dimensional vector representations. Graph neural networks (GNNs) have received much attention and have achieved state-of-the-art performance in learning node representation.
Zekun Lu   +4 more
doaj   +1 more source

Signed Lp-distance fields [PDF]

open access: yes, 2012
We introduce and study a family of generalized double-layer potentials which are used to build smooth and accurate approximants for the signed distance function.
Pasko, Alexander   +2 more
core   +1 more source

Signed random walk diffusion for effective representation learning in signed graphs.

open access: yesPLoS ONE, 2022
How can we model node representations to accurately infer the signs of missing edges in a signed social graph? Signed social graphs have attracted considerable attention to model trust relationships between people. Various representation learning methods
Jinhong Jung, Jaemin Yoo, U Kang
doaj   +2 more sources

Research on Extreme Signed Graphs with Minimal Energy in Tricyclic Signed Graphs S(n, n + 2)

open access: yesComplexity, 2020
A signed graph is acquired by attaching a sign to each edge of a simple graph, and the signed graphs have been widely used as significant computer models in the study of complex systems.
Yajing Wang, Yubin Gao
doaj   +1 more source

Signed Laplacian Graph Neural Networks

open access: yes, 2023
This paper studies learning meaningful node representations for signed graphs, where both positive and negative links exist. This problem has been widely studied by meticulously designing expressive signed graph neural networks, as well as capturing the ...
Li, Yu, Tang, Jian, Qu, Meng, Chang, Yi
core   +1 more source

Home - About - Disclaimer - Privacy