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Graph-Theory-Based Derivation, Modeling, and Control of Power Converter Systems
IEEE Journal of Emerging and Selected Topics in Power Electronics, 2022Graph-theoretical approaches have been widely applied in many disciplines, however, their implementation in power electronics converters and systems is still in the exploring stage.
Yuzhuo Li +3 more
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Transport Phenomena in Zeolites in View of Graph Theory and Pseudo-Phase Transition.
Small, 2020Transport phenomena play an essential role in catalysis. While zeolite catalysis is widely applied in industrial chemical processes, its efficiency is often limited by the transport rate in the micropores of the zeolite.
Dali Cai +3 more
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Relationship between Power Flow Transferring and Path Length using Graph Theory
2020 IEEE 1st China International Youth Conference on Electrical Engineering (CIYCEE), 2020Unexpected power changes may lead to transmission line overload and even evolve into cascading breakout. To avoid this, the key is to analyze how the power flow transfers after disturbance.
Jiawei Yu, Ziqian Yang, M. Zhan
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Graph Neural Networks: Foundation, Frontiers and Applications
Knowledge Discovery and Data Mining, 2022The field of graph neural networks (GNNs) has seen rapid and incredible strides over the recent years. Graph neural networks, also known as deep learning on graphs, graph representation learning, or geometric deep learning, have become one of the fastest-
Lingfei Wu +4 more
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A Conceptual Introduction to Hetero-functional Graph Theory for Systems-of-Systems
arXiv.orgA defining feature of twenty first century engineering challenges is their inherent complexity, demanding the convergence of knowledge across diverse disciplines.
A. Farid +2 more
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Pinning Control of Multiplex Dynamical Networks Using Spectral Graph Theory
IEEE Transactions on CyberneticsPinning control has been attracting wide attention for the study of various complex networks for decades. This article explores grounded theory on the pinning synchronization of the emerging multiplex dynamical networks.
Hui Liu +5 more
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Bridge: A graph-based algorithm to analyze dynamic H-bond networks in membrane proteins.
Journal of Chemical Theory and Computation, 2019Membrane proteins that function as transporters or receptors must communicate with both sides of the lipid bilayer in which they sit. This long distance communication enables transporters to move protons or other ions and small molecules across the ...
Malte Siemers +5 more
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Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
Neural Information Processing Systems, 2023Node-level random walk has been widely used to improve Graph Neural Networks. However, there is limited attention to random walk on edge and, more generally, on $k$-simplices.
Cai Zhou, Xiyuan Wang, Muhan Zhang
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Graph Theory: Bridging Mathematics, Big Data, and Modern Applications
Graph theory is actually a very broad area of mathematics which offers really a great framework for modeling relationships of any kind from computer science to transportation. This paper explores the vast applications of graph theory in solving complex problems, especially with the interaction of computer science and big networks with regards to big ...Roopashree M, Kulkarni, A. K., Kavana N
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