44   Artículos

 
en línea
Xin Tian and Yuan Meng    
The judicious configuration of predicates is a crucial but often overlooked aspect in the field of knowledge graphs. While previous research has primarily focused on the precision of triples in assessing knowledge graph quality, the rationality of predic... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Ahmed El-Mesady, Aleksandr Y. Romanov, Aleksandr A. Amerikanov and Alexander D. Ivannikov    
Recent developments in commutative algebra, linear algebra, and graph theory allow us to approach various issues in several fields. Circulant graphs now have a wider range of practical uses, including as the foundation for optical networks, discrete cell... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Zuoxin Wang and Xiaohu Zhao    
Most current non-intrusive load monitoring methods focus on traditional load characteristic analysis and algorithm optimization, lack knowledge of users? electricity consumption behavior habits, and have poor accuracy. We propose a novel attention-guided... ver más
Revista: Information    Formato: Electrónico

 
en línea
Sirui Shen, Daobin Zhang, Shuchao Li, Pengcheng Dong, Qing Liu, Xiaoyu Li and Zequn Zhang    
Heterogeneous graph neural networks (HGNNs) deliver the powerful capability to model many complex systems in real-world scenarios by embedding rich structural and semantic information of a heterogeneous graph into low-dimensional representations. However... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zhihong Chang, Chunsheng Liu and Jianmin Jia    
As an important component of intelligent transportation-management systems, accurate traffic-parameter prediction can help traffic-management departments to conduct effective traffic management. Due to the nonlinearity, complexity, and dynamism of highwa... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Rui-Yu Li, Yu Guo and Bin Zhang    
Nonnegative matrix factorization (NMF) is an efficient method for feature learning in the field of machine learning and data mining. To investigate the nonlinear characteristics of datasets, kernel-method-based NMF (KNMF) and its graph-regularized extens... ver más
Revista: Information    Formato: Electrónico

 
en línea
Ahmed El-Mesady, Tasneem Farahat, Ramadan El-Shanawany and Aleksandr Y. Romanov    
Nowadays, graph theory is one of the most exciting fields of mathematics due to the tremendous developments in modern technology, where it is used in many important applications. The orthogonal double cover (ODC)" role="presentation">(??????)(ODC) ( O D ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Geneviève Simonet and Anne Berry    
The atom graph of a connected graph is a graph whose vertices are the atoms obtained by clique minimal separator decomposition of this graph, and whose edges are the edges of all its atom trees. A graph G is an atom graph if there is a graph whose atom g... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Anne Berry and Geneviève Simonet    
The atom graph of a graph is a graph whose vertices are the atoms obtained by clique minimal separator decomposition of this graph, and whose edges are the edges of all possible atom trees of this graph. We provide two efficient algorithms for computing ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Chao Zhou and Tao Zhang    
In real applications, massive data with graph structures are often incomplete due to various restrictions. Therefore, graph data imputation algorithms have been widely used in the fields of social networks, sensor networks, and MRI to solve the graph dat... ver más
Revista: Future Internet    Formato: Electrónico

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