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Link prediction is a key problem for network-structured data.
A new status index derived from sociometric analysis
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Simrank: a measure of structural-context similarity
Glen Jeh and Jennifer Widom · 2002
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Comparative assessment of large-scale data sets of protein–protein interactions
Christian Von Mering, Roland Krause, Berend Snel, Michael Cornell, Stephen G Oliver, Stanley Fields, and Peer Bork · 2002
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Friends and neighbors on the web
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Scaling personalized web search
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Local methods for estimating pagerank values
Yen-Yu Chen, Qingqing Gan, and Torsten Suel · 2004
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Measuring isp topologies with rocketfuel
Neil Spring, Ratul Mahajan, David Wetherall, and Thomas Anderson · 2004
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Mapping the us political blogosphere: Are conservative bloggers more prominent?
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Shortest-path kernels on graphs
Karsten M Borgwardt and Hans-Peter Kriegel · 2005
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http://vlado.fmf.uni-lj.si/pub/networks/data/, 2006
Vladimir Batagelj and Andrej Mrvar · 2006
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Finding community structure in networks using the eigenvectors of matrices
Mark EJ Newman · 2006
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Biogrid: a general repository for interaction datasets
Chris Stark, Bobby-Joe Breitkreutz, Teresa Reguly, Lorrie Boucher, Ashton Breitkreutz, and Mike Tyers · 2006
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The link-prediction problem for social networks
David Liben-Nowell and Jon Kleinberg · 2007
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Mixed membership stochastic blockmodels
Edoardo M Airoldi, David M Blei, Stephen E Fienberg, and Eric P Xing · 2008
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Local approximation of pagerank and reverse pagerank
Ziv Bar-Yossef and Li-Tal Mashiach · 2008
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Factorization meets the neighborhood: a multifaceted collaborative filtering model
Yehuda Koren · 2008
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Liblinear: A library for large linear classification
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin · 2008
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Matrix factorization techniques for recommender systems
Yehuda Koren, Robert Bell, and Chris Volinsky · 2009
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Predicting missing links via local information
Tao Zhou, Linyuan Lü, and Yi-Cheng Zhang · 2009
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Social computing data repository at asu, 2009
Reza Zafarani and Huan Liu · 2009
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Relational retrieval using a combination of path-constrained random walks
Ni Lao and William W Cohen · 2010
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Local methods for estimating simrank score
Xu Jia, Hongyan Liu, Li Zou, Jun He, Xiaoyong Du, and Yuanzhe Cai · 2010
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Getting lost in space: Large sample analysis of the resistance distance
Ulrike V Luxburg, Agnes Radl, and Matthias Hein · 2010
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Factorization machines
Steffen Rendle · 2010
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Learning latent block structure in weighted networks
Christopher Aicher, Abigail Z Jacobs, and Aaron Clauset · 2015
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Halting in random walk kernels
Mahito Sugiyama and Karsten Borgwardt · 2015
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{ \{ SNAP Datasets } \} : { \{ Stanford } \} large network dataset collection
Jure Leskovec and Andrej Krevl · 2015
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A review of relational machine learning for knowledge graphs
Maximilian Nickel, Kevin Murphy, Volker Tresp, and Evgeniy Gabrilovich · 2016
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Boostgapfill: Improving the fidelity of metabolic network reconstructions through integrated constraint and pattern-based methods
Tolutola Oyetunde, Muhan Zhang, Yixin Chen, Yinjie Tang, and Cynthia Lo · 2016
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Learning convolutional neural networks for graphs
Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov · 2016
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S Vichy N Vishwanathan, Nicol N Schraudolph, Risi Kondor, and Karsten M Borgwardt · 2010
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Fast neighborhood subgraph pairwise distance kernel
Fabrizio Costa and Kurt De Grave · 2010
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Link prediction in complex networks: A survey
Linyuan Lü and Tao Zhou · 2011
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Weisfeiler-lehman graph kernels
Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen, Kurt Mehlhorn, and Karsten M Borgwardt · 2011
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Large text compression benchmark, 2011
Matt Mahoney · 2011
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Reprint of: The anatomy of a large-scale hypertextual web search engine
Sergey Brin and Lawrence Page · 2012
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node2vec: Scalable feature learning for networks
Aditya Grover and Jure Leskovec · 2016
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Discriminative embeddings of latent variable models for structured data
Hanjun Dai, Bo Dai, and Le Song · 2016
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Propagation kernels: efficient graph kernels from propagated information
Marion Neumann, Roman Garnett, Christian Bauckhage, and Kristian Kersting · 2016
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Weisfeiler-lehman neural machine for link prediction
Muhan Zhang and Yixin Chen · 2017
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Network embedding as matrix factorization: Unifyingdeepwalk, line, pte, and node2vec
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, and Jie Tang · 2017
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Leveraging node attributes for incomplete relational data
He Zhao, Lan Du, and Wray Buntine · 2017
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Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 2017
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Geometric matrix completion with recurrent multi-graph neural networks
Federico Monti, Michael Bronstein, and Xavier Bresson · 2017
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struc2vec: Learning node representations from structural identity
Leonardo FR Ribeiro, Pedro HP Saverese, and Daniel R Figueiredo · 2017
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Inductive representation learning on large graphs
Will Hamilton, Zhitao Ying, and Jure Leskovec · 2017
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Prune: Preserving proximity and global ranking for network embedding
Yi-An Lai, Chin-Chi Hsu, Wen Hao Chen, Mi-Yen Yeh, and Shou-De Lin · 2017
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Learning graph representations with embedding propagation
Alberto Garcia Duran and Mathias Niepert · 2017
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Network-based prediction of protein interactions
István A Kovács, Katja Luck, Kerstin Spirohn, Yang Wang, Carl Pollis, Sadie Schlabach, Wenting Bian, Dae-Kyum Kim, Nishka Kishore, Tong Hao, et al · 2018
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