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The structural properties of naturally arising social graphs are extensively studied to understand their evolution.
Deep generative graph distribution learning for synthetic power grids
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Alan Mislove, Massimiliano Marcon, Krishna P Gummadi, Peter Druschel, and Bobby Bhattacharjee. 2007 · 2007
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Tao Zhou, Jie Ren, Matúš Medo, and Yi-Cheng Zhang. 2007 · 2007
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Collective classification in network data
Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, and Tina Eliassi-Rad. 2008 · 2008
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Aaron Clauset, Cosma Rohilla Shalizi, and Mark EJ Newman. 2009 · 2009
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Lei Guo, Enhua Tan, Songqing Chen, Xiaodong Zhang, and Yihong Zhao. 2009 · 2009
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Silvio Lattanzi and D. Sivakumar. 2009 · 2009
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Cooperative behavior cascades in human social networks
James H. Fowler and Nicholas A. Christakis. 2010 · 2010
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The anatomy of the facebook social graph
Johan Ugander, Brian Karrer, Lars Backstrom, and Cameron Marlow. 2011 · 2011
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Manlio De Domenico, Antonio Lima, Paul Mougel, and Mirco Musolesi. 2013 · 2013
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Friendship paradox redux: Your friends are more interesting than you
Nathan O. Hodas, Farshad Kooti, and Kristina Lerman. 2013 · 2013
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powerlaw: a python package for analysis of heavy-tailed distributions
Jeff Alstott, Ed Bullmore, and Dietmar Plenz. 2014 · 2014
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The movielens datasets: History and context
F. Maxwell Harper and Joseph A. Konstan. 2015 · 2015
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F. Maxwell Harper, Joseph A. Konstan, and Joseph A. 2016 · 2016
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Molgan: An implicit generative model for small molecular graphs
Nicola De Cao and Thomas Kipf. 2018 · 2018
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Junction tree variational autoencoder for molecular graph generation
Wengong Jin, Regina Barzilay, and Tommi Jaakkola. 2018 · 2018
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Constrained graph variational autoencoders for molecule design
Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, and Alexander Gaunt. 2018 · 2018
Large language models empowered agent-based modeling and simulation: A survey and perspectives
Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan, Jingtao Ding, Zhilun Zhou, Fengli Xu, and Yong Li. 2023 · 2023
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Efficient memory management for large language model serving with pagedattention
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Seul Lee, Jaehyeong Jo, and Sung Ju Hwang. 2023 · 2023
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Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem. 2023 · 2023
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OpenAI. 2023 · 2023
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Martin Simonovsky and Nikos Komodakis. 2018 · 2018
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Jiaxuan You, Rex Ying, Xiang Ren, William Hamilton, and Jure Leskovec. 2018 · 2018
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Efficient graph generation with graph recurrent attention networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Will Hamilton, David K Duvenaud, Raquel Urtasun, and Richard Zemel. 2019 · 2019
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Jenny Liu, Aviral Kumar, Jimmy Ba, Jamie Kiros, and Kevin Swersky. 2019 · 2019
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Nils Reimers and Iryna Gurevych. 2019 · 2019
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Graph generative model for benchmarking graph neural networks
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