Link prediction model based on geodesic distance measure using various machine learning classification models

[1]  Katie Brodhead,et al.  Link Prediction Schemes Contra Weisfeiler-Leman Models , 2018 .

[2]  Don-Lin Yang,et al.  Image Processing and Image Mining using Decision Trees , 2009, J. Inf. Sci. Eng..

[3]  Linyuan Lü,et al.  Similarity index based on local paths for link prediction of complex networks. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[5]  A. C. Cem Say.  L'Hôpital's Filter for QSIM , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[7]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[8]  E. M. Yarichin,et al.  Intellectual Paradigm of Artificial Vision: from Video-Intelligence to Strong Artificial Intelligence , 2018 .

[9]  Edoardo M. Airoldi,et al.  Mixed Membership Stochastic Blockmodels , 2007, NIPS.

[10]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[11]  Linyuan Lü,et al.  Predicting missing links via local information , 2009, 0901.0553.

[12]  Lada A. Adamic,et al.  Friends and neighbors on the Web , 2003, Soc. Networks.

[13]  Haider Raza,et al.  Link Prediction Evaluation Using Palette Weisfeiler-Lehman Graph Labelling Algorithm , 2019, Int. J. Knowl. Syst. Sci..

[14]  M. Newman,et al.  Vertex similarity in networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  Ratul Mahajan,et al.  Measuring ISP topologies with rocketfuel , 2002, TNET.

[16]  M. Newman.  Clustering and preferential attachment in growing networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  Leo Katz,et al.  A new status index derived from sociometric analysis , 1953 .

[18]  Linyuan Lu,et al.  Link Prediction in Complex Networks: A Survey , 2010, ArXiv.

[19]  Tao Zhou,et al.  Scale-free networks without growth , 2008 .

[20]  Marcos H. Cascone,et al.  GEODESIC DISTRIBUTION IN GRAPH THEORY: KULLBACK - LEIBLER - SYMMETRIC , 2014 .

[21]  David Liben-Nowell,et al.  The link-prediction problem for social networks , 2007 .

[22]  B. Snel,et al.  Comparative assessment of large-scale data sets of protein–protein interactions , 2002, Nature.

[23]  N. Altman.  An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .

[24]  Guo-Jie Li,et al.  Enhancing the transmission efficiency by edge deletion in scale-free networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[25]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[26]  Yoav Freund,et al.  A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.

[27]  J. Friedman.  Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .

[28]  M. Newman,et al.  Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  Beom Jun Kim,et al.  Attack vulnerability of complex networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.