Results 51 to 60 of about 7,799,039 (309)
ALPINE : Active Link Prediction using Network Embedding [PDF]
, 2020 Many real-world problems can be formalized as predicting links in a partially observed network. Examples include Facebook friendship suggestions, consumer-product recommendations, and the identification of hidden interactions between actors in a crime ...
Chen, Xi +3 more
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Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 2010 In the traditional link prediction problem, a snapshot of a so- cial network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely to ap- pear in the future. In this paper, we introduce cold start link prediction as the problem of predicting the structure of a social network when the network itself is ...
Leroy, Vincent +2 more
openaire +3 more sources
Link Prediction in Co-authorship Networks
Science Journal of University of Zakho, 2022 Besides social network analysis, the Link-Prediction (LP) problem has useful applications in information retrieval, bioinformatics, telecommunications, microbiology, and e-commerce as a forecast of future links in a given context to find what possible ...
Hajar Ali Hasin, Diman Hassan
doaj +1 more source
Seven-Layer Model in Complex Networks Link Prediction: A Survey
Sensors, 2020 Link prediction is the most basic and essential problem in complex networks. This study analyzes the observed topological, time, attributive, label, weight, directional, and symbolic features and auxiliary information to find the lack of connection and ...
Hui Wang, Zichun Le
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The Absence of a Weak-Tie Effect When Predicting Large-Weight Links in Complex Networks
Entropy, 2023 Link prediction is a hot issue in information filtering. Link prediction algorithms, based on local similarity indices, are widely used in many fields due to their high efficiency and high prediction accuracy.
Chengjun Zhang +6 more
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Entropy-based approach to missing-links prediction [PDF]
, 2018 Link-prediction is an active research field within network theory, aiming at uncovering missing connections or predicting the emergence of future relationships from the observed network structure.
Caldarelli, Guido +2 more
core +2 more sources
Explaining Link Prediction Systems based on Knowledge Graph Embeddings
SIGMOD Conference, 2022 Link Prediction (LP) aims at tackling Knowledge Graph incompleteness by inferring new, missing facts from the already known ones. The rise of novel Machine Learning techniques has led researchers to develop LP models that represent Knowledge Graph ...
Andrea Rossi +3 more
semanticscholar +1 more source
Social Relationship Prediction Integrating Personality Traits and Asymmetric Interactions
Frontiers in Psychology, 2022 Social networks have become an important way for users to find friends and expand their social circle. Social networks can improve users’ experience by recommending more suitable friends to them. The key lies in improving the accuracy of link prediction,
Chunhua Ju +7 more
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Hill Climbing-Based Efficient Model for Link Prediction in Undirected Graphs
Mathematics, 2022 Link prediction is a key problem in the field of undirected graph, and it can be used in a variety of contexts, including information retrieval and market analysis. By “undirected graphs”, we mean undirected complex networks in this study. The ability to
Haji Gul +4 more
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The Influence of Network Structural Preference on Link Prediction
Discrete Dynamics in Nature and Society, 2020 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