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Link prediction aims to reveal missing edges in a graph.
On random graphs I
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Simrank: A measure of structural-context similarity
Jeh, G. and Widom, J · 2002
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Comparative assessment of large-scale data sets of protein–protein interactions
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Measuring isp topologies with rocketfuel
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Mapping the U.S. political blogosphere: Are conservative bloggers more prominent?
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Finding community structure in networks using the eigenvectors of matrices
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Relational learning with gaussian processes
Chu, W., Sindhwani, V., Ghahramani, Z., and Keerthi, S. S · 2007
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Mixed membership stochastic blockmodels
Airoldi, E. M., Blei, D. M., Fienberg, S. E., and Xing, E. P · 2008
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Collective classification in network data
Sen, P., Namata, G., Bilgic, M., Getoor, L., Galligher, B., and Eliassi-Rad, T · 2008
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Hidden common cause relations in relational learning
Silva, R., Chu, W., and Ghahramani, Z · 2008
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Gaussian process models for link analysis and transfer learning
Yu, K. and Chu, W · 2008
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Matrix factorization techniques for recommender systems
Koren, Y., Bell, R., and Volinsky, C · 2009
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Inter-domain gaussian processes for sparse inference using inducing features
Lázaro-Gredilla, M. and Figueiras-Vidal, A · 2009
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Predicting missing links via local information
Zhou, T., Lü, L., and Zhang, Y.-C · 2009
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A survey of statistical network models
Goldenberg, A., Zheng, A. X., Fienberg, S. E., and Airoldi, E. M · 2010
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Convolutional neural networks on graphs with fast localized spectral filtering
Defferrard, M., Bresson, X., and Vandergheynst, P · 2016
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Node2vec: Scalable feature learning for networks
Grover, A. and Leskovec, J · 2016
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Benchmark data sets for graph kernels, 2016
Kersting, K., Kriege, N. M., Morris, C., Mutzel, P., and Neumann, M · 2016
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Variational graph auto-encoders, 2016
Kipf, T. N. and Welling, M · 2016
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Semi-Supervised Classification with Graph Convolutional Networks
Kipf, T. N. and Welling, M · 2017
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Convolutional gaussian processes
van der Wilk, M., Rasmussen, C. E., and Hensman, J · 2017
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Reprint of: The anatomy of a large-scale hypertextual web search engine
Brin, S. and Page, L · 2012
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A novel link prediction algorithm for reconstructing protein–protein interaction networks by topological similarity
Lei, C. and Ruan, J · 2012
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Spectral networks and locally connected networks on graphs
Bruna, J., Zaremba, W., Szlam, A., and LeCun, Y · 2014
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Deepwalk: Online learning of social representations
Perozzi, B., Al-Rfou, R., and Skiena, S · 2014
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Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2015
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Line: Large-scale information network embedding
Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., and Mei, Q · 2015
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Weisfeiler-lehman neural machine for link prediction
Zhang, M. and Chen, Y · 2017
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Bayesian semi-supervised learning with graph gaussian processes
Ng, Y. C., Colombo, N., and Silva, R · 2018
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Network embedding as matrix factorization: Unifying deepwalk, line, pte, and node2vec
Qiu, J., Dong, Y., Ma, H., Li, J., Wang, K., and Tang, J · 2018
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Pitfalls of graph neural network evaluation
Shchur, O., Mumme, M., Bojchevski, A., and Günnemann, S · 2018
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Link prediction based on graph neural networks
Zhang, M. and Chen, Y · 2018
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Beyond link prediction: Predicting hyperlinks in adjacency space
Zhang, M., Cui, Z., Jiang, S., and Chen, Y · 2018
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Simplifying graph convolutional networks
Wu, F., Souza, A., Zhang, T., Fifty, C., Yu, T., and Weinberger, K · 2019
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