Results 51 to 60 of about 6,752,678 (299)
Link prediction via matrix completion [PDF]
Inspired by practical importance of social networks, economic networks, biological networks and so on, studies on large and complex networks have attracted a surge of attentions in the recent years. Link prediction is a fundamental issue to understand the mechanisms by which new links are added to the networks.
Pech, Ratha +4 more
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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
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
Drug Response Prediction as a Link Prediction Problem [PDF]
5 minute rapid-resource talk given at the NetBio track of ISMB-ECCB 2017 in Prague, CZ. Based on an approach using a network proximity algorithm on a heterogeneous network to predict drug response for cancer cell lines. Published in Nature Scientific Reports in January 2017.
Zachary Stanfield +2 more
openaire +2 more sources
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski +59 more
wiley +1 more source
Link Prediction in Bipartite Nested Networks [PDF]
Real networks typically studied in various research fields—ecology and economic complexity, for example—often exhibit a nested topology, which means that the neighborhoods of high-degree nodes tend to include the neighborhoods of low-degree nodes. Focusing on nested networks, we study the problem of link prediction in complex networks, which aims at ...
Medo, Matúš +2 more
openaire +4 more sources
ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark +9 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
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

