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GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

24 February 2018

Xiang Ren

Papers citing "GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models"

28 / 28 papers shown

Title
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms Shuaiqun Pan Yash J. Patel Aneta Neumann Frank Neumann Thomas Bäck Hao Wang 151 0 0 30 Jan 2025
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation Zijie Zhong Hanwen Liu Xiaoya Cui Xiaofan Zhang Zengchang Qin 139 8 0 28 Jan 2025
Learning to generate feasible graphs using graph grammars Stefan Mautner Rolf Backofen Fabrizio Costa 82 0 0 10 Jan 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization Song Wang Xiaodong Yang Rashidul Islam Huiyuan Chen Minghua Xu Jundong Li Yiwei Cai OODD 260 3 0 07 Jan 2025
LLMs generate structurally realistic social networks but overestimate political homophily Serina Chang Alicja Chaszczewicz Emma Wang Maya Josifovska Emma Pierson J. Leskovec 126 8 0 29 Aug 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation Tobias Bernecker Ghalia Rehawi Francesco Paolo Casale Janine Knauer-Arloth Annalisa Marsico 72 1 0 08 Aug 2024
Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Pose Michael Kilgour Mark Tuckerman Jutta Rogal 85 0 0 22 May 2024
Metric Space Magnitude for Evaluating the Diversity of Latent Representations K. Limbeck R. Andreeva Rik Sarkar Bastian Rieck 164 4 0 27 Nov 2023
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 105 44 0 17 Jun 2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs Changmin Wu Giannis Nikolentzos Michalis Vazirgiannis GNN 303 10 0 02 Mar 2020
Learning to Fix Build Errors with Graph2Diff Neural Networks Daniel Tarlow Subhodeep Moitra Andrew Rice Zimin Chen Pierre-Antoine Manzagol Charles Sutton E. Aftandilian GNN 117 63 0 04 Nov 2019
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 108 303 0 28 Mar 2018
Learning Deep Generative Models of Graphs Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter W. Battaglia GNN AI4CE 203 662 0 08 Mar 2018
Syntax-Directed Variational Autoencoder for Structured Data H. Dai Yingtao Tian Bo Dai Steven Skiena Le Song 115 329 0 24 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 123 856 0 09 Feb 2018
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 196 1,980 0 17 Sep 2017
Molecular De Novo Design through Deep Reinforcement Learning Marcus Olivecrona T. Blaschke Ola Engkvist Hongming Chen BDL 150 1,019 0 25 Apr 2017
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks Marwin H. S. Segler T. Kogej C. Tyrchan M. Waller 96 97 0 05 Jan 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 155 3,595 0 21 Nov 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 180 2,939 0 07 Oct 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 406 7,421 0 12 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 486 2,579 0 25 Jan 2016
Sliced Wasserstein Kernels for Probability Distributions Soheil Kolouri Yang Zou Gustavo K. Rohde 60 161 0 10 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 150 1,146 0 05 Nov 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 607 12,745 0 11 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013
Kronecker Graphs: An Approach to Modeling Networks J. Leskovec Deepayan Chakrabarti Jon M. Kleinberg Christos Faloutsos Zoubin Ghahramani 122 1,076 0 29 Dec 2008
Mixed membership stochastic blockmodels E. Airoldi David M. Blei S. Fienberg Eric Xing 511 2,122 0 30 May 2007