Results 11 to 20 of about 447,603 (295)
From Graph Theory to Graph Neural Networks (GNNs): The Opportunities of GNNs in Power Electronics
IEEE Access, 2023 Graph theory within power electronics, developed over a 50-year span, is continually evolving, necessitating ongoing research endeavors. Facing with the never-been-seen explosion of graph-structured data, the state-of-the-art deep learning technique ...
Yuzhuo Li +3 more
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Extending Undirected Graph Techniques to Directed Graphs via Category Theory
MathematicsWe use Category Theory to construct a ‘bridge’ relating directed graphs with undirected graphs, such that the notion of direction is preserved. Specifically, we provide an isomorphism between the category of simple directed graphs and a category we call ‘
Sebastian Pardo-Guerra +4 more
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Localization–delocalization matrices: bridging QTAIM and chemical graph theory [PDF]
Acta Crystallographica Section A Foundations and Advances, 2017 Chérif F. Matta +3 more
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Graph Theory Data for Topological Quantum Chemistry [PDF]
Physical Review E, 2017 Topological phases of noninteracting particles are distinguished by global properties of their band structure and eigenfunctions in momentum space.
Aroyo, M. I. +7 more
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Local Convergence and Stability of Tight Bridge-Addable Graph Classes [PDF]
International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 2016 A class of graphs is bridge-addable if given a graph G in the class, any graph obtained by adding an edge between two connected components of G is also in the class. The authors recently proved a conjecture of McDiarmid, Steger, and Welsh stating that if
Chapuy, Guillaume, Perarnau, Guillem
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Journal of Function SpacesAlgebraic curves and topological sequences play a crucial role in mathematics and graph theory, serving as a bridge between geometry, algebra, and number theory.
Mohammad Mazyad Hazzazi +4 more
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Revolutionizing Education: Harnessing Graph Machine Learning for Enhanced Problem-Solving in Environmental Science and Pollution Technology [PDF]
Nature Environment and Pollution TechnologyAmidst the shifting tides of the educational landscape, this research article embarks on a transformative journey delving into the fusion of theoretical principles and pragmatic implementations within the realm of Graph Machine Learning (GML ...
R. Krishna Kumari
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Linking Off-Road Points to Routing Networks
Algorithms, 2022 Although graph theory has already been introduced in spatial reasoning, current spatial database systems do not provide out-of-the-box routing on geometric points that are not matched on the graph.
Dominik Köppl
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Unique perfect matchings, forbidden transitions and proof nets for linear logic with Mix [PDF]
Logical Methods in Computer Science, 2020 This paper establishes a bridge between linear logic and mainstream graph theory, building on previous work by Retor\'e (2003). We show that the problem of correctness for MLL+Mix proof nets is equivalent to the problem of uniqueness of a perfect ...
Lê Thành Dũng Nguyên
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Structural matrices for Signed Petri net
AKCE International Journal of Graphs and Combinatorics, 2022 The developments in the field of Graph Theory and Petri net Theory in the form of balanceness and negative tokens respectively motivated the authors to bridge the gap between Petri net and Signed graph and introduce a new concept of Signed Petri net (SPN)
Payal, Sangita Kansal
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