Results 1 to 10 of about 7,799,039 (309)

Multimorbidity prediction using link prediction [PDF]

Scientific Reports, 2021
Multimorbidity, frequently associated with aging, can be operationally defined as the presence of two or more chronic conditions. Predicting the likelihood of a patient with multimorbidity to develop a further particular disease in the future is one of ...
Furqan Aziz, Victor Roth Cardoso, Laura Bravo-Merodio, Dominic Russ, Samantha C. Pendleton, John A. Williams, Animesh Acharjee, Georgios V. Gkoutos   +7 more
doaj   +3 more sources

Link Prediction in Complex Networks: A Survey [PDF]

arXiv.org, 2010
Link prediction in complex networks has attracted increasing attention from both physical and computer science communities. The algorithms can be used to extract missing information, identify spurious interactions, evaluate network evolving mechanisms ...
Adamic, Airoldi, Albert, Alon, Amaral, Arenas, Baiesi, Barabási, Barahona, Bayes, Bianconi, Blondel, Boccaletti, Breiman, Brin, Buntine, Burke, Butts, Caldarelli, Carmi, Casella, Casella, Chebotarev, Chu, Clauset, Colizza, Cui, da, Dasgupta, Dawah, Dorelan, Dorogovtsev, Fouss, Fouss, Gallagher, Gastner, Geisser, Getoor, Girvan, Granger, Guha, Guimerà, Guimerà, Guimerà, Guimerà, Hanely, Heckerman, Heckerman, Herlocker, Holland, Holme, Holme, Huang, Huang, Huss, Jaccard, Jeh, Jung, Kaluza, Katz, Kim, Klein, Kohavi, Kossinets, Krebs, Kunegis, Lambiotte, Leicht, Leroy, Leskovec, Liben-Nowell, Lin, Linyuan Lü, Liu, Liu, Liu, Liu, Liu, Lusseau, Lü, Lü, Mann, Manning, Mantrach, Marvel, Metropolis, Molloy, Moore, Mossel, Murata, Neal, Neville, Newman, Newman, Newman, Newman, Newman, Newman, Newman, Newman, Ou, O’Madadhain, Pan, Pastor-Satorras, Pastor-Satorras, Penrose, Perotti, Polikar, Ravasz, Redner, Reed, Reichardt, Sales-Pardo, Salton, Salton, Schafer, Schafer, Shang, Shang, Shawe-Taylor, Spiegelhalter, Spring, Stumpf, Su, Sun, Szell, Sørensen, Tao Zhou, Taskar, Tong, Traag, Tylenda, Valverde, von Mering, Vázquez, Wang, Watts, White, White, White, Wilcoxon, Xiao, Xie, Yan, Yin, Yin, Yu, Yu, Yu, Zachary, Zeng, Zhang, Zhang, Zhang, Zhang, Zhang, Zheleva, Zhou, Zhou, Zhou, Zhou, Zhou, Zhou, Zhou   +163 more
core   +2 more sources

Link prediction on Twitter. [PDF]

PLoS ONE, 2017
With over 300 million active users, Twitter is among the largest online news and social networking services in existence today. Open access to information on Twitter makes it a valuable source of data for research on social interactions, sentiment ...
Sanda Martinčić-Ipšić, Edvin Močibob, Matjaž Perc   +2 more
doaj   +7 more sources

Multi-Scale Link Prediction [PDF]

Proceedings of the 21st ACM international conference on Information and knowledge management, 2012
The automated analysis of social networks has become an important problem due to the proliferation of social networks, such as LiveJournal, Flickr and Facebook. The scale of these social networks is massive and continues to grow rapidly.
Dhillon, Inderjit S., Shin, Donghyuk, Si, Si   +2 more
core   +4 more sources

Progresses and challenges in link prediction [PDF]

iScience, 2021
Summary Link prediction is a paradigmatic problem in network science, which aims at estimating the existence likelihoods of nonobserved links, based on known topology.
Tao Zhou
semanticscholar   +6 more sources

The Secure Link Prediction Problem [PDF]

Advances in Mathematics of Communications, 2019
Link Prediction is an important and well-studied problem for social networks. Given a snapshot of a graph, the link prediction problem predicts which new interactions between members are most likely to occur in the near future.
Ruj, Sushmita, Sardar, Laltu
core   +4 more sources

Link Prediction via Matrix Completion [PDF]

EPL (Europhysics Letters), 2016
Inspired by practical importance of social networks, economic networks, biological networks and so on, studies on large and complex networks have attracted a surge of attentions in the recent years.
Cheng, Hong, Hao, Dong, Pan, Liming, Pech, Ratha, Zhou, Tao   +4 more
core   +2 more sources

Improved Link Prediction Using PCA

International Journal of Analysis and Applications, 2019
Link Prediction is known as a challenging problem in the area of online social media. Earlier, learning model for link prediction task has been proposed by many researchers. But the classification of imbalanced and high dimensional data is an interesting
. Ankita, Nanhay Singh
doaj   +4 more sources

Towards Better Evaluation for Dynamic Link Prediction [PDF]

Neural Information Processing Systems, 2022
Despite the prevalence of recent success in learning from static graphs, learning from time-evolving graphs remains an open challenge. In this work, we design new, more stringent evaluation procedures for link prediction specific to dynamic graphs, which
Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany   +3 more
semanticscholar   +1 more source

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking [PDF]

Neural Information Processing Systems, 2023
Link prediction attempts to predict whether an unseen edge exists based on only a portion of edges of a graph. A flurry of methods have been introduced in recent years that attempt to make use of graph neural networks (GNNs) for this task.
Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin   +7 more
semanticscholar   +1 more source