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Link prediction is one of the fundamental problems in social network analysis.
Adversarial attacks on graph neural networks via meta learning
Daniel Zügner and Stephan Günnemann · 1909
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A new status index derived from sociometric analysis
Leo Katz · 1953
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Centrality in social networks conceptual clarification
Linton C Freeman · 1978
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Emergence of scaling in random networks
Albert-László Barabási and Réka Albert · 1999
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Generation of uncorrelated random scale-free networks
Michele Catanzaro, Marián Boguná, and Romualdo Pastor-Satorras · 2005
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Computing the optimal strategy to commit to
Vincent Conitzer and Tuomas Sandholm · 2006
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Vertex similarity in networks
Elizabeth A Leicht, Petter Holme, and Mark EJ Newman · 2006
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Sampling from large graphs
Jure Leskovec and Christos Faloutsos · 2006
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Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation
Francois Fouss, Alain Pirotte, Jean-Michel Renders, and Marco Saerens · 2007
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The link-prediction problem for social networks
David Liben-Nowell and Jon Kleinberg · 2007
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Similarity index based on local paths for link prediction of complex networks
Linyuan Lü, Ci-Hang Jin, and Tao Zhou · 2009
Cited alongside, same era.
Quality-bounded solutions for finite bayesian stackelberg games: Scaling up
Manish Jain, Christopher Kiekintveld, and Milind Tambe · 2011
Cited alongside, same era.
Approximation methods for infinite bayesian stackelberg games: Modeling distributional payoff uncertainty
Christopher Kiekintveld, Janusz Marecki, and Milind Tambe · 2011
Cited alongside, same era.
Stackelberg vs. nash in security games: An extended investigation of interchangeability, equivalence, and uniqueness
Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintveld, Vincent Conitzer, and Milind Tambe · 2011
Cited alongside, same era.
Snap: A general-purpose network analysis and graph-mining library
Jure Leskovec and Rok Sosič · 2016
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Measuring the robustness of link prediction algorithms under noisy environment
Peng Zhang, Xiang Wang, Futian Wang, An Zeng, and Jinghua Xiao · 2016
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Gemsec: Graph embedding with self clustering
Benedek Rozemberczki, Ryan Davies, Rik Sarkar, and Charles Sutton · 2018
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Stackelberg security games: Looking beyond a decade of success
Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, and Milind Tambe · 2018
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Adversarial machine learning
Yevgeniy Vorobeychik and Murat Kantarcioglu · 2018
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Hiding individuals and communities in a social network
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Linyuan Lü and Tao Zhou · 2011
Cited alongside, same era.
Deepwalk: Online learning of social representations
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena · 2014
Cited alongside, same era.
Link prediction in social networks: the state-of-the-art
Peng Wang, BaoWen Xu, YuRong Wu, and XiaoYu Zhou · 2015
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
Cited alongside, same era.
Waniek, Tomasz P Michalak, Michael J Wooldridge, and Talal Rahwan · 2018
Later among the works it cites.
Adversarial attacks on neural networks for graph data
Daniel Zügner, Amir Akbarnejad, and Stephan Günnemann · 2018
Later among the works it cites.
How to hide one’s relationships from link prediction algorithms
Marcin Waniek, Kai Zhou, Yevgeniy Vorobeychik, Esteban Moro, Tomasz P Michalak, and Talal Rahwan · 2019
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Attacking similarity-based link prediction in social networks
Kai Zhou, Tomasz P Michalak, Marcin Waniek, Talal Rahwan, and Yevgeniy Vorobeychik · 2019
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