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This paper is first-line research expanding GANs into graph topology analysis.
Metis - unstructured graph partitioning and sparse matrix ordering system, version 2.0
Karypis, George and Kumar, Vipin · 1995
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Collective dynamics of ‘small-world’networks
Watts, Duncan J and Strogatz, Steven H · 1998
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Emergence of scaling in random networks
Barabási, Albert-László and Albert, Réka · 1999
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Graphs over time: densification laws, shrinking diameters and possible explanations
Leskovec, Jure, Kleinberg, Jon, and Faloutsos, Christos · 2005
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Sampling from large graphs
Leskovec, Jure and Faloutsos, Christos · 2006
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Fast unfolding of communities in large networks
Blondel, Vincent D, Guillaume, Jean-Loup, Lambiotte, Renaud, and Lefebvre, Etienne · 2008
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Spring embedders and force directed graph drawing algorithms
Kobourov, Stephen G · 2012
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A survey and taxonomy of graph sampling
Hu, Pili and Lau, Wing Cheong · 2013
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Spectral networks and locally connected networks on graphs
Bruna, Joan, Zaremba, Wojciech, Szlam, Arthur, and Lecun, Yann · 2014
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Generative adversarial nets
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Duvenaud, David K, Maclaurin, Dougal, Iparraguirre, Jorge, Bombarell, Rafael, Hirzel, Timothy, Aspuru-Guzik, Alán, and Adams, Ryan P · 2015
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Defferrard, Michaël, Bresson, Xavier, and Vandergheynst, Pierre · 2016
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Scalable link community detection: A local dispersion-aware approach
Delis, Alex, Ntoulas, Alexandros, and Liakos, Panagiotis · 2016
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Nips 2016 tutorial: Generative adversarial networks
Goodfellow, Ian · 2016
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Semi-supervised classification with graph convolutional networks
Kipf, Thomas N and Welling, Max · 2016
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f-gan: Training generative neural samplers using variational divergence minimization
Nowozin, Sebastian, Cseke, Botond, and Tomioka, Ryota · 2016
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Henaff, Mikael, Bruna, Joan, and LeCun, Yann · 2015
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Xiang, Ju, Hu, Tao, Zhang, Yan, Hu, Ke, Li, Jian-Ming, Xu, Xiao-Ke, Liu, Cui-Cui, and Chen, Shi · 2016
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Energy-based generative adversarial network
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Stanford network analysis project, 2017
SNAP · 2017
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