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On two Laplacian matrices for skew gain graphs [PDF]
Gain graphs are graphs where the edges are given some orientation and labeled with the elements (called gains) from a group so that gains are inverted when we reverse the direction of the edges.
Roshni T. Roy +2 more
doaj +2 more sources
On the adjacency matrix of a complex unit gain graph [PDF]
A complex unit gain graph is a simple graph in which each orientation of an edge is given a complex number with modulus 1 and its inverse is assigned to the opposite orientation of the edge.
Ranjit Mehatari +2 more
openalex +3 more sources
Normalized Laplacians for gain graphs [PDF]
We propose the notion of normalized Laplacian matrix \(\mathcal{L}(\Phi)\) for a gain graph \(\Phi\) and study its properties in detail, providing insights and counterexamples along the way. We establish bounds for the eigenvalues of \(\mathcal{L}(\Phi)\
M. Rajesh Kannan +2 more
doaj +4 more sources
Balancedness and the Least Laplacian Eigenvalue of Some Complex Unit Gain Graphs
Let 𝕋4 = {±1, ±i} be the subgroup of 4-th roots of unity inside 𝕋, the multiplicative group of complex units. A complex unit gain graph Φ is a simple graph Γ = (V (Γ) = {v1, . . .
Belardo Francesco +2 more
doaj +2 more sources
Let $\Phi=(G,U(\mathbb{Q}),\varphi)$ be a quaternion unit gain graph (or $U(\mathbb{Q})$-gain graph), where $G$ is the underlying graph of $\Phi$, $U(\mathbb{Q})=\{z\in \mathbb{Q}: |z|=1\}$ is the circle group, and $\varphi:\overrightarrow{E}\rightarrow ...
Qiannan Zhou, Yong Lu
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Gain and Pain in Graph Partitioning: Finding Accurate Communities in Complex Networks [PDF]
This paper presents an approach to community detection in complex networks by simultaneously incorporating a connectivity-based metric and Max-Min Modularity.
Arman Ferdowsi, Maryam Dehghan Chenary
doaj +2 more sources
NEPS of complex unit gain graphs
A complex unit gain graph (or $\mathbb T$-gain graph) is a gain graph with gains in $\mathbb T$, the multiplicative group of complex units. Extending a classical construction for simple graphs due to Cvektovic, suitably defined noncomplete extended $p ...
Francesco Belardo +2 more
openalex +3 more sources
The rank of a complex unit gain graph in terms of the matching number [PDF]
Shengjie He +2 more
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Information Gain Propagation: a new way to Graph Active Learning with Soft Labels [PDF]
Graph Neural Networks (GNNs) have achieved great success in various tasks, but their performance highly relies on a large number of labeled nodes, which typically requires considerable human effort.
Wentao Zhang +7 more
semanticscholar +1 more source
Rethinking the Expressive Power of GNNs via Graph Biconnectivity [PDF]
Designing expressive Graph Neural Networks (GNNs) is a central topic in learning graph-structured data. While numerous approaches have been proposed to improve GNNs in terms of the Weisfeiler-Lehman (WL) test, generally there is still a lack of deep ...
Bohang Zhang +3 more
semanticscholar +1 more source

