Link predication based on matrix factorization by fusion of multi class organizations of the network
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Link predication based on matrix factorization by fusion of multi class organizations of the network
Authors
Keywords
-
Journal
Scientific Reports
Volume 7, Issue 1, Pages -
Publisher
Springer Nature
Online
2017-08-15
DOI
10.1038/s41598-017-09081-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Link prediction via matrix completion
- (2017) Ratha Pech et al. EPL
- A Survey of Link Prediction in Complex Networks
- (2016) Víctor Martínez et al. ACM COMPUTING SURVEYS
- Clustering and Summarizing Protein-Protein Interaction Networks: A Survey
- (2016) Sourav S. Bhowmick et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Combining complex networks and data mining: Why and how
- (2016) M. Zanin et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Dynamics of information diffusion and its applications on complex networks
- (2016) Zi-Ke Zhang et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Predicting missing links and identifying spurious links via likelihood analysis
- (2016) Liming Pan et al. Scientific Reports
- Constrained Clustering With Nonnegative Matrix Factorization
- (2016) Xianchao Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- A perturbation-based framework for link prediction via non-negative matrix factorization
- (2016) Wenjun Wang et al. Scientific Reports
- Modern temporal network theory: a colloquium
- (2015) Petter Holme EUROPEAN PHYSICAL JOURNAL B
- Epidemic processes in complex networks
- (2015) Romualdo Pastor-Satorras et al. REVIEWS OF MODERN PHYSICS
- Measuring multiple evolution mechanisms of complex networks
- (2015) Qian-Ming Zhang et al. Scientific Reports
- Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework
- (2013) Jingu Kim et al. JOURNAL OF GLOBAL OPTIMIZATION
- From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks
- (2013) Carlo Vittorio Cannistraci et al. Scientific Reports
- Evaluating network models: A likelihood analysis
- (2012) Wen-Qiang Wang et al. EPL
- Recommender systems
- (2012) Linyuan Lü et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Temporal networks
- (2012) Petter Holme et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Community discovery using nonnegative matrix factorization
- (2010) Fei Wang et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Graph Regularized Nonnegative Matrix Factorization for Data Representation
- (2010) Deng Cai et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Link prediction in complex networks: A survey
- (2010) Linyuan Lü et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Predicting missing links via local information
- (2009) Tao Zhou et al. EUROPEAN PHYSICAL JOURNAL B
- Community detection in graphs
- (2009) Santo Fortunato PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Missing and spurious interactions and the reconstruction of complex networks
- (2009) Roger Guimerà et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Hierarchical structure and the prediction of missing links in networks
- (2008) Aaron Clauset et al. NATURE
- Synchronization in complex networks
- (2008) Alex Arenas et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started