Some Upper Bounds for the Net Laplacian Index of a Signed Graph
Sign Up to like & getrecommendations! Published in 2021 at "Bulletin of the Iranian Mathematical Society"
DOI: 10.1007/s41980-020-00514-2
Abstract: The net Laplacian matrix $$N_{\dot{G}}$$ N G ˙ of a signed graph $$\dot{G}$$ G ˙ is defined as $$N_{\dot{G}}=D_{\dot{G}}^{\pm }-A_{\dot{G}}$$ N G ˙ = D G ˙ ± - A G ˙ , where $$D_{\dot{G}}^{\pm… read more here.
Keywords: upper bounds; dot dot; net laplacian; bounds net ... See more keywords
Signed Graph-Based Image Transformation for Heterogeneous Change Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3539732
Abstract: Heterogeneous change detection (HeCD) is a highly valuable yet challenging task in remote sensing. To enable the comparison of heterogeneous images with different imaging mechanisms, some structural consistency-based image transformation methods have been proposed, which… read more here.
Keywords: image; image transformation; signed graph; graph based ... See more keywords
Balancing Augmentation With Edge Utility Filter for Signed Graph Neural Networks
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DOI: 10.1109/tnse.2024.3475379
Abstract: Many real-world networks are signed networks containing positive and negative edges. The existence of negative edges in the signed graph neural network has two consequences. One is the semantic imbalance, as the negative edges are… read more here.
Keywords: edge; utility; signed graph; graph neural ... See more keywords
Computing the determinant of a signed graph
Sign Up to like & getrecommendations! Published in 2024 at "Open Mathematics"
DOI: 10.1515/math-2023-0188
Abstract: Abstract A signed graph is a simple graph in which every edge has a positive or negative sign. In this article, we employ several algebraic techniques to compute the determinant of a signed graph in… read more here.
Keywords: computing determinant; signed graph; vertex deleted; determinant signed ... See more keywords