Results 31 to 40 of about 315,334 (257)
The Influence of Network Structural Preference on Link Prediction
Link prediction in complex networks predicts the possibility of link generation between two nodes that have not been linked yet in the network, based on known network structure and attributes.
Yongcheng Wang +3 more
doaj +1 more source
Privacy-Preserving Link Prediction
Consider two data holders, ABC and XYZ, with graph data (e.g., social networks, e-commerce, telecommunication, and bio-informatics). ABC can see that node A is linked to node B, and XYZ can see node B is linked to node C. Node B is the common neighbour of A and C but neither network can discover this fact on their own.
Didem Demirag +3 more
openaire +2 more sources
Link Prediction in Bibliographic Networks [PDF]
Analysing bibliographic networks is important for understanding the process of scientific publications. A bibliographic network can be studied using the framework of Heterogeneous Information Networks (HINs). In this paper, we comparatively evaluate two different algorithms for link prediction in HINs on an instance of a bibliographic network.
Pantelis Chronis +3 more
openaire +1 more source
ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
wiley +1 more source
A Link Prediction Method Based on Neural Networks
Link prediction to optimize network performance is of great significance in network evolution. Because of the complexity of network systems and the uncertainty of network evolution, it faces many challenges.
Keping Li, Shuang Gu, Dongyang Yan
doaj +1 more source
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source
Link prediction with hyperbolic geometry
Link prediction is a paradigmatic problem in network science with a variety of applications. In latent space network models this problem boils down to ranking pairs of nodes in the order of increasing latent distances between them. The network model with
Maksim Kitsak +2 more
doaj +1 more source
The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review
ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo +5 more
wiley +1 more source
Link Prediction with Hypergraphs via Network Embedding
Network embedding is a promising field and is important for various network analysis tasks, such as link prediction, node classification, community detection and others.
Zijuan Zhao, Kai Yang, Jinli Guo
doaj +1 more source
A Comprehensive Survey of Link Prediction Techniques for Social Network [PDF]
A growing trend of using social networking sites is attracting researchers to study and analyze differentaspects of social network. Besides many problems, link prediction is a fascinating problem in the field of socialnetwork analysis (SNA).
Abdul Samad +4 more
doaj +1 more source

