Syntax-Directed Variational Autoencoder for Structured Data

24 February 2018

Steven Skiena

Papers citing "Syntax-Directed Variational Autoencoder for Structured Data"

22 / 172 papers shown

Title
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 77 1 0 24 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 840 8,624 0 03 Jan 2019
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 121 42 0 17 Dec 2018
Transferable Natural Language Interface to Structured Queries aided by Adversarial Generation Hongyu Xiong R.-H. Sun 42 17 0 04 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 117 231 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 299 661 0 29 Nov 2018
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation Rim Assouel Mohamed Ahmed Marwin H. S. Segler Amir Saffari Yoshua Bengio 92 56 0 24 Nov 2018
GuacaMol: Benchmarking Models for De Novo Molecular Design Nathan Brown Marco Fiscato Marwin H. S. Segler Alain C. Vaucher ELM 126 722 0 22 Nov 2018
Concept-Oriented Deep Learning: Generative Concept Representations Daniel T. Chang DRL GAN BDL 72 12 0 15 Nov 2018
Generating equilibrium molecules with deep neural networks Niklas W. A. Gebauer M. Gastegger Kristof T. Schütt BDL 81 38 0 26 Oct 2018
Efficiently measuring a quantum device using machine learning D. Lennon H. Moon L. Camenzind Liuqi Yu D. Zumbuhl G. Briggs Michael A. Osborne E. Laird N. Ares 42 69 0 23 Oct 2018
Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou S. Kearnes Li Li R. Zare Patrick F. Riley AI4CE 140 543 0 19 Oct 2018
Molecular Hypergraph Grammar with its Application to Molecular Optimization Hiroshi Kajino 70 104 0 08 Sep 2018
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma Jie Chen Cao Xiao 136 210 0 07 Sep 2018
Latent Molecular Optimization for Targeted Therapeutic Design Tristan Aumentado-Armstrong 83 41 0 05 Sep 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 322 905 0 07 Jun 2018
Deep Graph Translation Xiaojie Guo Lingfei Wu Liang Zhao GNN 67 33 0 25 May 2018
Conditional molecular design with deep generative models Seokho Kang Kyunghyun Cho BDL 244 184 0 30 Apr 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 151 854 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 98 218 0 14 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 382 1,375 0 12 Feb 2018
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 180 76 0 16 Sep 2017