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An Unpooling Layer for Graph Generation

4 June 2022

Papers citing "An Unpooling Layer for Graph Generation"

38 / 38 papers shown

Title
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 83 228 0 05 Feb 2022
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 260 200 0 01 Feb 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 102 58 0 31 Dec 2020
Molecular graph generation with Graph Neural Networks P. Bongini Monica Bianchini F. Scarselli GNN 100 143 0 14 Dec 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei Wang BDL 134 295 0 17 Jun 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 187 438 0 26 Jan 2020
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 120 193 0 28 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 132 1,095 0 11 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 185 337 0 30 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 186 1,130 0 17 Apr 2019
Deep learning for molecular design - a review of the state of the art Daniel C. Elton Zois Boukouvalas M. Fuge Peter W. Chung AI4CE 3DV 92 328 0 11 Mar 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 256 1,909 0 19 Feb 2019
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 106 231 0 03 Dec 2018
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models Daniil Polykovskiy Alexander Zhebrak Benjamín Sánchez-Lengeling Sergey Golovanov Oktai Tatanov ... Simon Johansson Hongming Chen Sergey I. Nikolenko Alán Aspuru-Guzik Alex Zhavoronkov ELM 294 655 0 29 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 261 7,710 0 01 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 274 5,407 0 28 Sep 2018
Improving Chemical Autoencoder Latent Space and Molecular De novo Generation Diversity with Heteroencoders E. Bjerrum Boris Sattarov BDL 44 149 0 25 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 322 2,157 0 22 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 299 905 0 07 Jun 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 179 930 0 30 May 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 142 854 0 24 Feb 2018
NeVAE: A Deep Generative Model for Molecular Graphs Bidisha Samanta A. De G. Jana P. Chattaraj Niloy Ganguly Manuel Gomez Rodriguez GNN DRL BDL DiffM 83 218 0 14 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 365 1,372 0 12 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 123 856 0 09 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models G. L. Guimaraes Benjamín Sánchez-Lengeling Carlos Outeiral Pedro Luis Cunha Farias Alán Aspuru-Guzik GAN 92 525 0 30 May 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs M. Simonovsky N. Komodakis GNN 219 1,232 0 10 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,500 0 04 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,568 0 31 Mar 2017
Grammar Variational Autoencoder Matt J. Kusner Brooks Paige José Miguel Hernández-Lobato BDL DRL 93 844 0 06 Mar 2017
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 182 2,945 0 07 Oct 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions Yunchen Pu Zhe Gan Ricardo Henao Xin Yuan Chunyuan Li Andrew Stevens Lawrence Carin BDL CoGe 94 755 0 28 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 684 29,183 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 371 7,680 0 30 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 309 14,032 0 19 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 229 3,356 0 30 Sep 2015
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 240 4,884 0 21 Dec 2013
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning Lex Weaver Nigel Tao 124 249 0 10 Jan 2013