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Network alignment, the process of finding correspondences between nodes in different graphs, has many scientific and industrial applications.
An algorithm for quadratic programming
Marguerite Frank and Philip Wolfe · 1956
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A generalized solution of the orthogonal procrustes problem
Peter H Schönemann · 1966
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A graduated assignment algorithm for graph matching
Steven Gold and Anand Rangarajan · 1996
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Final: Fast attributed network alignment
Si Zhang and Hanghang Tong · 2005
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The biogrid interaction database: 2008 update
Bobby-Joe Breitkreutz, Chris Stark, et al · 2008
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Algorithms for large, sparse network alignment problems
Mohsen Bayati, Margot Gerritsen, David F Gleich, Amin Saberi, and Ying Wang · 2009
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Sinkhorn distances: Lightspeed computation of optimal transport
Marco Cuturi · 2013
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Konect: the koblenz network collection
Jérôme Kunegis · 2013
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SNAP Datasets: Stanford large network dataset collection
Jure Leskovec and Andrej Krevl · 2014
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Deepwalk: Online learning of social representations
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena · 2014
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Lazysvd: Even faster svd decomposition yet without agonizing pain
Zeyuan Allen-Zhu and Yuanzhi Li · 2016
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node2vec: Scalable feature learning for networks
Aditya Grover and Jure Leskovec · 2016
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Network alignment: Theory, algorithms, and applications
Ehsan Kazemi · 2016
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Aligning users across social networks using network embedding
Li Liu, William K Cheung, Xin Li, and Lejian Liao · 2016
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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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Word translation without parallel data
Guillaume Lample, Alexis Conneau, Marc’Aurelio Ranzato, Ludovic Denoyer, and Hervé Jégou · 2018
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Network embedding as matrix factorization: Unifying deepwalk, line, pte, and node2vec
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, and Jie Tang · 2018
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Massively scalable sinkhorn distances via the nyström method
Jason Altschuler, Francis Bach, Alessandro Rudi, and Jonathan Niles-Weed · 2019
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Deep adversarial network alignment
Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, and Jiliang Tang · 2019
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Joint link prediction and network alignment via cross-graph embedding
Xingbo Du, Junchi Yan, and Hongyuan Zha · 2019
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Graph embedding techniques, applications, and performance: A survey
Palash Goyal and Emilio Ferrara · 2018
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Regal: Representation learning-based graph alignment
Mark Heimann, Haoming Shen, Tara Safavi, and Danai Koutra · 2018
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Edouard Grave, Armand Joulin, and Quentin Berthet · 2019
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Distribution of node embeddings as multiresolution features for graphs
Mark Heimann, Tara Safavi, and Danai Koutra · 2019
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On proximity and structural role-based embeddings in networks: Misconceptions, methods, and applications
Ryan A Rossi, Di Jin, Sungchul Kim, Nesreen K Ahmed, Danai Koutra, and John Boaz Lee · 2020
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