Graphite: Iterative Generative Modeling of Graphs

28 March 2018

Papers citing "Graphite: Iterative Generative Modeling of Graphs"

50 / 157 papers shown

Title
Dirichlet Graph Variational Autoencoder Jia Li Tomas Yu Jiajin Li Honglei Zhang Kangfei Zhao Yu Rong Hong Cheng Junzhou Huang BDL 24 52 0 09 Oct 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 44 147 0 13 Jul 2020
Non-Parametric Graph Learning for Bayesian Graph Neural Networks Soumyasundar Pal Saber Malekmohammadi Florence Regol Yingxue Zhang Yishi Xu Mark J. Coates 24 11 0 23 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 50 1,586 0 15 Jun 2020
Pointer Graph Networks Petar Velivcković Lars Buesing Matthew Overlan Razvan Pascanu Oriol Vinyals Charles Blundell GNN 24 62 0 11 Jun 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 35 46 0 09 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need? Sang-yong Yoo Young-Seok Kim Kang Lee Kuhwan Jeong Junhwi Choi Hoshik Lee Y. S. Choi GNN 22 11 0 09 Jun 2020
DeepGG: a Deep Graph Generator Julian Stier Michael Granitzer GNN BDL 22 5 0 07 Jun 2020
SHADOWCAST: Controllable Graph Generation W. Tann E. Chang Bryan Hooi 22 2 0 06 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 284 0 07 May 2020
Graph2Plan: Learning Floorplan Generation from Layout Graphs Ruizhen Hu Zeyu Huang Yuhan Tang Oliver Matias van Kaick Hao Zhang Hui Huang GNN DRL 23 119 0 27 Apr 2020
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder Xiaojie Guo Yuanqi Du Sivani Tadepalli Liang Zhao Amarda Shehu DRL 22 26 0 08 Apr 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 38 120 0 26 Mar 2020
Bipartite Link Prediction based on Topological Features via 2-hop Path Jungwoon Shin 13 0 0 19 Mar 2020
Self-Supervised Graph Representation Learning via Global Context Prediction Zhen Peng Yixiang Dong Minnan Luo Xiao-Ming Wu Q. Zheng SSL 14 64 0 03 Mar 2020
Learning to Generate Time Series Conditioned Graphs with Generative Adversarial Nets Shanchao Yang Jing Liu K. Wu Mingming Li GAN AI4CE 53 3 0 03 Mar 2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs Changmin Wu Giannis Nikolentzos Michalis Vazirgiannis GNN 21 10 0 02 Mar 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu Yang Song Jiaming Song Shengjia Zhao Aditya Grover Stefano Ermon DiffM 23 260 0 02 Mar 2020
Graph Deconvolutional Generation Daniel Flam-Shepherd Tony C Wu Alán Aspuru-Guzik BDL 28 31 0 14 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 21 6 0 05 Feb 2020
Edge-based sequential graph generation with recurrent neural networks D. Bacciu A. Micheli Marco Podda GNN 14 34 0 31 Jan 2020
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction Se-eun Yoon Hyungseok Song Kijung Shin Yung Yi 4 74 0 30 Jan 2020
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation Nikhil Goyal Harsh Jain Sayan Ranu 18 90 0 22 Jan 2020
Adversarial Attack on Community Detection by Hiding Individuals Jia Li Honglei Zhang Zhichao Han Yu Rong Hong Cheng Junzhou Huang AAML 17 87 0 22 Jan 2020
Simple and Effective Graph Autoencoders with One-Hop Linear Models Guillaume Salha-Galvan Romain Hennequin Michalis Vazirgiannis GNN 19 48 0 21 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 42 277 0 29 Dec 2019
TeaNet: universal neural network interatomic potential inspired by iterative electronic relaxations So Takamoto S. Izumi Ju Li GNN 29 76 0 02 Dec 2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations Chen Wang Chengyuan Deng Vladimir A. Ivanov GNN DRL 19 6 0 27 Nov 2019
G2SAT: Learning to Generate SAT Formulas Jiaxuan You Haoze Wu Clark W. Barrett R. Ramanujan J. Leskovec NAI 21 35 0 29 Oct 2019
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure Tony Duan Juho Lee GNN BDL CML 14 2 0 17 Oct 2019
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks Guillaume Salha-Galvan Romain Hennequin Michalis Vazirgiannis GNN BDL 27 50 0 02 Oct 2019
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton David Duvenaud R. Urtasun R. Zemel GNN 20 326 0 02 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 29 0 0 26 Sep 2019
Deep Generative Model for Sparse Graphs using Text-Based Learning with Augmentation in Generative Examination Networks R. V. Deursen Guillaume Godin 17 1 0 24 Sep 2019
Continuous Graph Flow Zhiwei Deng Megha Nawhal Lili Meng Greg Mori 21 3 0 07 Aug 2019
Generative Models for Automatic Chemical Design Daniel Schwalbe-Koda Rafael Gómez-Bombarelli MedIm AI4CE 32 81 0 02 Jul 2019
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings Alexander I. Cowen-Rivers Pasquale Minervini Tim Rocktaschel Matko Bosnjak Sebastian Riedel Jun Wang BDL 23 4 0 12 Jun 2019
Hierarchical Graph-to-Graph Translation for Molecules Wengong Jin Regina Barzilay Tommi Jaakkola 26 16 0 11 Jun 2019
Scalable Generative Models for Graphs with Graph Attention Mechanism Wataru Kawai Yusuke Mukuta Tatsuya Harada GNN 14 17 0 05 Jun 2019
Graph Learning Network: A Structure Learning Algorithm Darwin Danilo Saire Pilco Adín Ramirez Rivera GNN 11 15 0 29 May 2019
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification Kenta Oono Taiji Suzuki GNN 32 27 0 27 May 2019
Gravity-Inspired Graph Autoencoders for Directed Link Prediction Guillaume Salha-Galvan Stratis Limnios Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN CML 31 95 0 23 May 2019
Mutual Information Maximization in Graph Neural Networks Xinhan Di Pengqian Yu Rui Bu Mingchao Sun 32 21 0 21 May 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 35 80 0 14 May 2019
A Deep Generative Model for Graph Layout Oh-Hyun Kwon K. Ma DRL GNN 19 48 0 27 Apr 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 19 410 0 28 Mar 2019
Tiered Latent Representations and Latent Spaces for Molecular Graphs Daniel T. Chang AI4CE BDL 18 7 0 21 Mar 2019
Generative Graph Convolutional Network for Growing Graphs Da Xu Chuanwei Ruan Kamiya Motwani Evren Körpeoglu Sushant Kumar Kannan Achan GNN 22 14 0 06 Mar 2019
Learning to Sample Hard Instances for Graph Algorithms Ryoma Sato M. Yamada H. Kashima 19 1 0 26 Feb 2019