Results 1 to 10 of about 3,270,134 (279)
Multimorbidity prediction using link prediction [PDF]
Multimorbidity, frequently associated with aging, can be operationally defined as the presence of two or more chronic conditions. Predicting the likelihood of a patient with multimorbidity to develop a further particular disease in the future is one of ...
Furqan Aziz +7 more
doaj +3 more sources
Link prediction on Twitter. [PDF]
With over 300 million active users, Twitter is among the largest online news and social networking services in existence today. Open access to information on Twitter makes it a valuable source of data for research on social interactions, sentiment ...
Sanda Martinčić-Ipšić +2 more
doaj +7 more sources
Review on Learning and Extracting Graph Features for Link Prediction
Link prediction in complex networks has attracted considerable attention from interdisciplinary research communities, due to its ubiquitous applications in biological networks, social networks, transportation networks, telecommunication networks, and ...
Ece C. Mutlu +3 more
doaj +3 more sources
Link prediction with hyperbolic geometry [PDF]
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 +5 more sources
BERT4FCA: A method for bipartite link prediction using formal concept analysis and BERT. [PDF]
Link prediction in bipartite networks finds practical applications in various domains, including friend recommendation in social networks and chemical reaction prediction in metabolic networks.
Siqi Peng +2 more
doaj +2 more sources
Structural Importance-based Link Prediction Techniques in Social Network [PDF]
Link prediction in social network gaining high attention of researchers nowadays due to the rush of users towards social network. Link prediction is known as the prediction of missing or unobserved link, i.e., new interaction is going ...
Abdul Samad +2 more
doaj +1 more source
Complex Network Link Prediction Method Based on Topology Similarity and XGBoost [PDF]
In order to improve the performance of complex network link prediction,topology similarity and XGBoost algorithm are used to complete link prediction in complex network.According to the topological structure of complex network,the adjacency matrix is ...
GONG Zhui-fei, WEI Chuan-jia
doaj +1 more source
Deep Link-Prediction Based on the Local Structure of Bipartite Networks
Link prediction based on bipartite networks can not only mine hidden relationships between different types of nodes, but also reveal the inherent law of network evolution. Existing bipartite network link prediction is mainly based on the global structure
Hehe Lv +3 more
doaj +1 more source
Pairwise link prediction [PDF]
Link prediction is a common problem in network science that transects many disciplines. The goal is to forecast the appearance of new links or to find links missing in the network. Typical methods for link prediction use the topology of the network to predict the most likely future or missing connections between a pair of nodes.
Huda Nassar +2 more
openaire +3 more sources
Missing Link Prediction Using Non-Overlapped Features and Multiple Sources of Social Networks
The current methods for missing link prediction in social networks focus on using data from overlapping users from two social network sources to recommend links between unconnected users. To improve prediction of the missing link, this paper presents the
Pokpong Songmuang +2 more
doaj +1 more source

