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A Review of Graph Neural Networks and Their Applications in Power Systems

open access: yesJournal of Modern Power Systems and Clean Energy, 2022
Deep neural networks have revolutionized many machine learning tasks in power systems, ranging from pattern recognition to signal processing. The data in these tasks are typically represented in Euclidean domains.
Wenlong Liao   +4 more
doaj   +3 more sources

Ultra-short-term Interval Prediction of Wind Power Based on Graph Neural Network and Improved Bootstrap Technique

open access: yesJournal of Modern Power Systems and Clean Energy, 2023
Reliable and accurate ultra-short-term prediction of wind power is vital for the operation and optimization of power systems. However, the volatility and intermittence of wind power pose uncertainties to traditional point prediction, resulting in an ...
Wenlong Liao   +5 more
doaj   +3 more sources

The Wiener, hyper-Wiener, Harary and SK indices of the P(Z_{p^k.q^r}) power graph [PDF]

open access: yesNotes on Number Theory and Discrete Mathematics, 2023
The undirected P(Zₙ) power graph of a finite group of Zₙ is a connected graph, the set of vertices of which is Zₙ. Here u,v∈P(Zₙ) are two diverse adjacent vertices if and only if u≠v and ⟨v⟩ ⊆ ⟨u⟩ or ⟨u⟩ ⊆ ⟨v⟩.
Volkan Aşkin
doaj   +1 more source

Power up! Robust Graph Convolutional Network via Graph Powering

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2021
Graph convolutional networks (GCNs) are powerful tools for graph-structured data. However, they have been recently shown to be vulnerable to topological attacks. To enhance adversarial robustness, we go beyond spectral graph theory to robust graph theory.
Jin, Ming   +3 more
openaire   +2 more sources

THE POWER GRAPH REPRESENTATION FOR INTEGER MODULO GROUP WITH POWER PRIME ORDER

open access: yesBarekeng, 2023
There are many applications of graphs in various fields. Starting from chemical problems, such as the molecular shape of a compound to internet network problems, we can also use graphs to depict the abstract concept of a mathematical structure..
Lalu Riski Wirendra Putra   +4 more
doaj   +1 more source

On the Regular Power Graph on the Conjugacy Classes of Finite Groups [PDF]

open access: yesMathematics Interdisciplinary Research, 2018
The (undirected) power graph on the conjugacy classes PC(G) of a group G  is a simple graph in which the vertices are the conjugacy classes of G and two distinct vertices C and C' are adjacent in PC(G) if one is a subset of a power of the other.
Sajjad Mahmood Robati
doaj   +1 more source

Clustering Powers of Sparse Graphs [PDF]

open access: yesThe Electronic Journal of Combinatorics, 2020
We prove that if $G$ is a sparse graph — it belongs to a fixed class of bounded expansion $\mathcal{C}$ — and $d\in \mathbb{N}$ is fixed, then the $d$th power of $G$ can be partitioned into cliques so that contracting each of these clique to a single vertex again yields a sparse graph.
Nešetřil, Jaroslav   +3 more
openaire   +2 more sources

Recent developments on the power graph of finite groups – a survey

open access: yesAKCE International Journal of Graphs and Combinatorics, 2021
Algebraic graph theory is the study of the interplay between algebraic structures (both abstract as well as linear structures) and graph theory. Many concepts of abstract algebra have facilitated through the construction of graphs which are used as tools
Ajay Kumar   +3 more
doaj   +1 more source

The b-chromatic number of power graphs [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2003
The b-chromatic number of a graph G is defined as the maximum number k of colors that can be used to color the vertices of G, such that we obtain a proper coloring and each color i, with 1 ≤ i≤ k, has at least one representant x_i adjacent to a vertex of
Brice Effantin, Hamamache Kheddouci
doaj   +1 more source

Construction Technology of Knowledge Graph and its Application in Power Grid [PDF]

open access: yesE3S Web of Conferences, 2021
With the rapid development of energy internet, dispatchers need to learn more knowledge with wider scope and fast update speed. It’s urgent to realize the knowledge electrification, knowledge systematization, knowledge visualization and knowledge sharing
Xiaoping Gai   +5 more
doaj   +1 more source

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