14 papers · ranked by Valyu relevance
Arpit Merchant, Ananth Mahadevan, Michael Mathioudakis, Adam Lipowski
'Adam Lipowski'] The task of node classification concerns a network where nodes are associated with labels, but labels are known only for some of the nodes. The task consists of inferring the unknown labels given the known node labels, the structure of the network, and other known node attributes. Common node…
Yu Song, Shan Lu, Dehong Qiu
Enhancing message propagation is critical for solving the problem of node classification in sparse graph with few labels. The recently popularized Graph Convolutional Network (GCN) lacks the ability to propagate messages effectively to distant nodes because of over-smoothing. Besides, the GCN with numerous trainable…
Zhenpeng Liu, Shengcong Zhang, Jialiang Zhang, Mingxiao Jiang + 2 more
'Yi Liu' 'Alessandro Pluchino'] Most Heterogeneous Information Network (HIN) embedding methods use meta-paths to guide random walks to sample from HIN and perform representation learning in order to overcome the bias of traditional random walks that are more biased towards high-order nodes. Their performance depends on…
Amir Mohammad Heravi, Fatemeh Hataminia, Bashir Rasoulian, Maryam Tavakoli + 3 more
'Maryam Tavakoli' 'Narjes Sadat Yaghobi' 'Amir Hossein Jafarian' 'Seyed Ali Alamdaran'] Introduction: Lymphadenopathy often causes anxiety due to its association with malignancy or serious infections. This study investigates the role of ultrasound features in distinguishing benign from malignant neck lymphadenopathy…
Khaoula Ait Rai, Mustapha Machkour, Jilali Antari
Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In…
Liuhai Wang, Xin Du, Bo Jiang, Weifeng Pan + 3 more
'Dongsheng Liu' 'Amelia Carolina Sparavigna'] Software maintenance is indispensable in the software development process. Developers need to spend a lot of time and energy to understand the software when maintaining the software, which increases the difficulty of software maintenance. It is a feasible method to…
Ali Deeb, Abdalrahman Ibrahim, Mohamed Salem, Joachim Pichler + 6 more
'Sergii Tkachov' 'Anjeza Karaj' 'Fadi Al Machot' 'Kyamakya Kyandoghere' 'Marco Lanuzza' 'Lionel Trojman'] Analog mixed-signal (AMS) verification is one of the essential tasks in the development process of modern systems-on-chip (SoC). Most parts of the AMS verification flow are already automated, except for stimuli…
Yihan Deng, Kerstin Denecke
The Swiss classification of surgical interventions (CHOP) has to be used in daily practice by physicians to classify clinical procedures. Its purpose is to encode the delivered healthcare services for the sake of quality assurance and billing. For encoding a procedure, a code of a maximal of 6-digits has to be selected…
Xinyun Zhao, Yongheng Zhang, Qingying Zhai, Jinrui Zhang + 4 more
'Hung T. Diep' 'Miron Kaufman' 'Sanda Kaufman'] Correctly identifying influential nodes in a complex network and implementing targeted protection measures can significantly enhance the overall security of the network. Currently, indicators such as degree centrality, closeness centrality, betweenness centrality…
Lidong Fu, Xin Ma, Zengfa Dou, Yun Bai + 2 more
In the field of complex network analysis, accurately identifying key nodes is crucial for understanding and controlling information propagation. Although several local centrality methods have been proposed, their accuracy may be compromised if interactions between nodes and their neighbors are not fully considered. To…
Zuxi Wang, Ruixiang Huang, Dian Yang, Yuqiang Peng + 2 more
'Zhong Chen'] The complex networks exhibit significant heterogeneity in node connections, resulting in a few nodes playing critical roles in various scenarios, including decision-making, disease control, and population immunity. Therefore, accurately identifying these influential nodes that play crucial roles in…
Feifei Wang, Zejun Sun, Guan Wang, Bohan Sun + 1 more
In a complex network, the identification of node influence and the localization of key nodes play a crucial role in analyzing network structure and determining the positioning of nodes for information transmission control, resource redistribution, and network regulation. In this study, we propose a method for…
Stephen K. Grady, Faisal N. Abu-Khzam, Ronald D. Hagan, Hesam Shams + 1 more
Deciding the size of a minimum dominating set is a classic NP-complete problem. It has found increasing utility as the basis for classifying vertices in networks derived from protein-protein, noncoding RNA, metabolic, and other biological interaction data. In this context it can be helpful, for example, to identify…
Miaomiao Liu, Jinyun Yang, Jingfeng Guo, Jing Chen + 2 more
'Yilun Shang'] Title: Abstract To solve the problems of poor stability and low modularity (Q) of community division results caused by the randomness of node selection and label update in the traditional label propagation algorithm, an improved two-stage label propagation algorithm based on LeaderRank was proposed in…