A modified DeepWalk method for link prediction in attributed social network
The increasing growth of online social networks has drawn researchers' attention to link
prediction and has been adopted in many fields, including computer sciences, information …
prediction and has been adopted in many fields, including computer sciences, information …
Jointly predicting links and inferring attributes using a social-attribute network (san)
The effects of social influence and homophily suggest that both network structure and node
attribute information should inform the tasks of link prediction and node attribute inference …
attribute information should inform the tasks of link prediction and node attribute inference …
Joint link prediction and attribute inference using a social-attribute network
The effects of social influence and homophily suggest that both network structure and node-
attribute information should inform the tasks of link prediction and node-attribute inference …
attribute information should inform the tasks of link prediction and node-attribute inference …
An ensemble model for link prediction based on graph embedding
YL Chen, CH Hsiao, CC Wu - Decision Support Systems, 2022 - Elsevier
A network is a form of data representation and is widely used in many fields. For example, in
social networks, we regard nodes as individuals or groups, and the edges between nodes …
social networks, we regard nodes as individuals or groups, and the edges between nodes …
Robust graph regularization nonnegative matrix factorization for link prediction in attributed networks
Link prediction is one of the most widely studied problems in the area of complex network
analysis, in which machine learning techniques can be applied to deal with it. The biggest …
analysis, in which machine learning techniques can be applied to deal with it. The biggest …
Streaming link prediction on dynamic attributed networks
Link prediction targets to predict the future node interactions mainly based on the current
network snapshot. It is a key step in understanding the formation and evolution of the …
network snapshot. It is a key step in understanding the formation and evolution of the …
Link prediction in social networks: the state-of-the-art
In social networks, link prediction predicts missing links in current networks and new or
dissolution links in future networks, is important for mining and analyzing the evolution of …
dissolution links in future networks, is important for mining and analyzing the evolution of …
Link prediction in social networks based on hypergraph
D Li, Z Xu, S Li, X Sun - … of the 22nd international conference on world …, 2013 - dl.acm.org
In recent years, online social networks have undergone a significant growth and attracted
much attention. In these online social networks, link prediction is a critical task that not only …
much attention. In these online social networks, link prediction is a critical task that not only …
Applications of link prediction in social networks: A review
Link prediction methods anticipate the likelihood of a future connection between two nodes
in a given network. The methods are essential in social networks to infer social interactions …
in a given network. The methods are essential in social networks to infer social interactions …
Inductive link prediction for nodes having only attribute information
Predicting the link between two nodes is a fundamental problem for graph data analytics. In
attributed graphs, both the structure and attribute information can be utilized for link …
attributed graphs, both the structure and attribute information can be utilized for link …