GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

9 February 2018

Papers citing "GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders"

38 / 38 papers shown

Title
Learning Flexible Forward Trajectories for Masked Molecular Diffusion Hyunjin Seo Taewon Kim Sihyun Yu SungSoo Ahn DiffM AI4CE 152 0 0 22 May 2025
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks Han Zhang Yan Wang Guanfeng Liu Pengfei Ding Huaxiong Wang Kwok-Yan Lam 92 0 0 20 May 2025
Unveiling and Steering Connectome Organization with Interpretable Latent Variables Yubin Li Xingyu Liu Guozhang Chen 145 0 0 19 May 2025
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation Cong Liu Sharvaree P. Vadgama David Ruhe Erik Bekkers Patrick Forré DiffM 91 0 0 22 Apr 2025
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling Yanchen Luo Zhiyuan Liu Yi Zhao Changhao Nai Kenji Kawaguchi Tat-Seng Chua Xiang Wang Yang Zhang Xiang Wang MedIm 156 0 0 19 Mar 2025
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms Shuaiqun Pan Yash J. Patel Aneta Neumann Frank Neumann Thomas Bäck Hao Wang 153 0 0 30 Jan 2025
Learning to generate feasible graphs using graph grammars Stefan Mautner Rolf Backofen Fabrizio Costa 82 0 0 10 Jan 2025
ArtFormer: Controllable Generation of Diverse 3D Articulated Objects Jiayi Su Youhe Feng Zheng Li Jinhua Song Yangfan He Botao Ren Botian Xu AI4CE 152 3 0 10 Dec 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 194 4 0 28 Oct 2024
Chemistry-Inspired Diffusion with Non-Differentiable Guidance Yuchen Shen Chenhao Zhang Sijie Fu Chenghui Zhou Newell Washburn Barnabás Póczos 95 2 0 09 Oct 2024
LLMs generate structurally realistic social networks but overestimate political homophily Serina Chang Alicja Chaszczewicz Emma Wang Maya Josifovska Emma Pierson J. Leskovec 128 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 74 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
Interpreting Equivariant Representations Andreas Abildtrup Hansen Anna Calissano Aasa Feragen 129 1 0 23 Jan 2024
Generative chemistry: drug discovery with deep learning generative models Yuemin Bian X. Xie AI4CE 119 96 0 20 Aug 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 108 44 0 17 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 550 10,591 0 17 Feb 2020
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction Garrett B. Goh Charles Siegel Abhinav Vishnu Nathan Oken Hodas 63 93 0 07 Dec 2017
Molecular De Novo Design through Deep Reinforcement Learning Marcus Olivecrona T. Blaschke Ola Engkvist Hongming Chen BDL 152 1,019 0 25 Apr 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
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks S. Ktena Sarah Parisot Enzo Ferrante Martin Rajchl M. J. Lee Ben Glocker Daniel Rueckert GNN 174 195 0 07 Mar 2017
Grammar Variational Autoencoder Matt J. Kusner Brooks Paige José Miguel Hernández-Lobato BDL DRL 93 844 0 06 Mar 2017
Scene Graph Generation by Iterative Message Passing Danfei Xu Yuke Zhu Chris Choy Li Fei-Fei GNN 3DV 110 1,226 0 10 Jan 2017
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks Marwin H. S. Segler T. Kogej C. Tyrchan M. Waller 102 97 0 05 Jan 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 815 3,302 0 24 Nov 2016
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution Matt J. Kusner José Miguel Hernández-Lobato GAN 112 328 0 12 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 367 5,390 0 03 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 182 2,945 0 07 Oct 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu Weinan Zhang Jun Wang Yong Yu GAN 72 2,409 0 18 Sep 2016
Order Matters: Sequence to sequence for sets Oriol Vinyals Samy Bengio M. Kudlur BDL 215 953 0 19 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 113 2,365 0 19 Nov 2015
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 106 2,228 0 18 Nov 2015
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 347 3,291 0 17 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
End-to-end people detection in crowded scenes Russell Stewart Mykhaylo Andriluka 88 545 0 16 Jun 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks Samy Bengio Oriol Vinyals Navdeep Jaitly Noam M. Shazeer 158 2,039 0 09 Jun 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 121 847 0 10 Feb 2015