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Community-Adaptive Link Prediction

Proceedings of the 2017 International Conference on Data Mining, Communications and Information Technology, 2017
Link prediction is one of hot research topics in social network analysis. Link prediction problem is to find a small set of node pairs in the networks that are not directly connected, but will be very likely to be connected in the future. To improve the prediction accuracy, many works have attempted to consider the community information, if available ...
Hyoungjun Jeon, Taewhan Kim
openaire   +1 more source

Recommendation as link prediction

Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries, 2009
Recommender systems have demonstrated commercial success in multiple industries. In digital libraries they have the potential to be used as a support tool for traditional information retrieval functions. Among the major recommendation algorithms, the successful collaborative filtering (CF) methods explore the use of user-item interactions to infer user
Xin Li, Hsinchun Chen
openaire   +1 more source

A comprehensive survey of link prediction methods

Journal of Supercomputing, 2023
Djihad Arrar   +2 more
semanticscholar   +1 more source

Community-based link prediction

Multimedia Tools and Applications, 2017
This work proposes a community-based link prediction approach for identifying missing links or the links that are likely to appear in near future. Earlier works on link prediction consider only connectivity pattern or node attributes. We incorporate the notion of community structure in link prediction.
Anupam Biswas, Bhaskar Biswas
openaire   +1 more source

Link Prediction

2022
Niyati Aggrawal, Adarsh Anand
openaire   +1 more source

A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding

Comput. Biol. Medicine, 2021
E. Nasiri   +3 more
semanticscholar   +1 more source

Locally Adaptive Link Prediction

2016
In this chapter, we address the shortcomings of the existing link prediction similarity measures; every similarity measure assigns the same weight to a node irrespective of the pair of nodes between which the similarity is being computed. In contrast, the weight of a node must depend based on the local neighborhood of the node pair under consideration.
Virinchi Srinivas, Pabitra Mitra
openaire   +1 more source

A modified DeepWalk method for link prediction in attributed social network

Computing, 2021
K. Berahmand   +3 more
semanticscholar   +1 more source

Link prediction in complex networks using node centrality and light gradient boosting machine

World wide web (Bussum), 2022
Sanjay Kumar   +4 more
semanticscholar   +1 more source

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