Results 21 to 30 of about 96,720 (286)

Enhanced power graphs of groups are weakly perfect

, 2022
Peer ...
Cameron, Peter J., Phan, Veronica
openaire   +4 more sources

Research on Power Cyber-Physical Cross-Domain Attack Paths Based on Graph Knowledge

Applied Sciences
Against the background of the construction of new power systems, power generation, transmission, distribution, and dispatching services are open to the outside world for interaction, and the accessibility of attack paths has been significantly enhanced ...
Shenjian Qiu, Zhipeng Shao, Jian Wang, Shiyou Xu, Jiaxuan Fei   +4 more
doaj   +2 more sources

Enhanced Wind Power Forecasting Using Graph Convolutional Networks with Ramp Characterization and Error Correction

Energies
The strong volatility of wind power presents persistent challenges to the stable operation of power systems, highlighting the critical need for accurate wind power forecasting to ensure system reliability.
Xin He, Yichen Ma, Jiancang Xie, Gang Zhang, Tuo Xie   +4 more
doaj   +2 more sources

Graph-Enhanced Prompt Tuning for Evidence-Grounded HFACS Classification in Power-System Safety

Energies
Power-system safety is fundamental to protecting lives and ensuring reliable grid operation. Yet, hierarchical text classification (HTC) methods struggle with domain-dense accident narratives that require cross-sentence reasoning, often yielding limited ...
Wenhua Zeng, Wenhu Tang, Diping Yuan, Bo Zhang, Na Xu, Hui Zhang   +5 more
doaj   +2 more sources

Overview of Knowledge Graph Question Answering Enhanced by Large Language Models [PDF]

Jisuanji kexue yu tansuo
Knowledge graph question answering (KGQA) is a technology that retrieves relevant answers from a knowledge graph by processing natural language questions posed by users.
FENG Tuoyu, LI Weiping, GUO Qinglang, WANG Gangliang, ZHANG Yusong, QIAO Zijian
doaj   +2 more sources

Residual-aware health prediction of power transformers via spatiotemporal graph neural networks. [PDF]

PLoS ONE
Accurate health state prediction and timely fault detection of power transformers are critical for ensuring the reliability and resilience of modern power systems. This paper proposes a residual-aware spatiotemporal graph neural network (STGNN) framework
Peng Zeng, Gong Chu
doaj   +2 more sources

Forbidden subgraphs in enhanced power graphs of finite groups

Revista De La Real Academia De Ciencias Exactas, Fisicas Y Naturales - Serie A: Matematicas
The enhanced power graph of a group is the simple graph whose vertex set is consisted of all elements of the group, and whose any pair of vertices are adjacent if they generate a cyclic subgroup. In this paper, we classify all finite groups whose enhanced power graphs are split and threshold.
Samir Zahirovic, Xuanlong Ma, Ma Xuanlong   +2 more
exaly   +4 more sources

TVGeAN: Tensor Visibility Graph-Enhanced Attention Network for Versatile Multivariant Time Series Learning Tasks

Mathematics
This paper introduces Tensor Visibility Graph-enhanced Attention Networks (TVGeAN), a novel graph autoencoder model specifically designed for MTS learning tasks.
Mohammed Baz
doaj   +2 more sources

The cyclic graph (deleted enhanced power graph) of a direct product [PDF]

Involve, a Journal of Mathematics, 2021
Let $G$ be a finite group. Define a graph on the set $G^{\#} = G \setminus \{ 1 \}$ by declaring distinct elements $x,y\in G^{\#}$ to be adjacent if and only if $\langle x,y\rangle$ is cyclic. Denote this graph by $Δ(G)$. The graph $Δ(G)$ has appeared in the literature under the names cyclic graph and deleted enhanced power graph.
Costanzo, David G., Lewis, Mark L., Schmidt, Stefano, Tsegaye, Eyob, Udell, Gabe   +4 more
openaire   +2 more sources

A survey on enhanced power graphs of finite groups

Electronic Journal of Graph Theory and Applications, 2022
Summary: We survey known results on enhanced power graphs of finite groups. Open problems, questions and suggestions for future work are also included.
Xuanlong Ma, Andrei Kelarev, Yuqing Lin 0001, Kaishun Wang   +3 more
openaire   +2 more sources