GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

9 February 2018

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

9 / 159 papers shown

Title
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds Daniele Grattarola Daniele Zambon Cesare Alippi L. Livi GNN 35 40 0 16 May 2018
Conditional molecular design with deep generative models Seokho Kang Kyunghyun Cho BDL 180 183 0 30 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 25 172 0 03 Apr 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach Kien Do T. Tran Thin Nguyen Svetha Venkatesh 29 17 0 01 Apr 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 33 296 0 28 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 43 831 0 24 Feb 2018
Multi-Objective De Novo Drug Design with Conditional Graph Generative Model Yibo Li L. Zhang Zhenming Liu 43 335 0 18 Jan 2018
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 39 76 0 16 Sep 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,243 0 24 Nov 2016