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1910.00760
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Efficient Graph Generation with Graph Recurrent Attention Networks
2 October 2019
Renjie Liao
Yujia Li
Yang Song
Shenlong Wang
C. Nash
William L. Hamilton
David Duvenaud
R. Urtasun
R. Zemel
GNN
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Papers citing
"Efficient Graph Generation with Graph Recurrent Attention Networks"
50 / 201 papers shown
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Tongliang Liu
Tingyang Xu
Wenbing Huang
Yixuan Li
Junzhou Huang
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Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs
Seongjun Yun
Minbyul Jeong
Sungdong Yoo
Seunghun Lee
Sean S. Yi
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
58
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Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
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Xu Han
Jiajing Hu
Francisco J. R. Ruiz
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Score-based Generative Modeling in Latent Space
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Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance
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Hao-ming Lin
Yue Liu
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132
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Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
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Max Horn
Bastian Rieck
Karsten Borgwardt
112
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02 Jun 2021
Multiresolution Equivariant Graph Variational Autoencoder
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Risi Kondor
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Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
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M. Armin
Simon Denman
Clinton Fookes
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E(n) Equivariant Normalizing Flows
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Max Welling
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The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
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Matthias Fey
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GNN
55
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Matthew Ricci
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I. Rekik
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Prateek Yadav
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Manling Li
Sha Li
Zhenhailong Wang
Lifu Huang
Kyunghyun Cho
Heng Ji
Jiawei Han
Clare R. Voss
114
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13 Apr 2021
Learning to Extend Molecular Scaffolds with Structural Motifs
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Henry Jackson-Flux
Pashmina Cameron
F. Sirockin
Nadine Schneider
N. Stiefl
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Marc Brockschmidt
AI4CE
104
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Sepidehsadat Hosseini
Kai-Hung Chang
Hang Chu
Chin-Yi Cheng
Yasutaka Furukawa
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Bahare Fatemi
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Seyed Mehran Kazemi
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SSL
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09 Feb 2021
In-game Residential Home Planning via Visual Context-aware Global Relation Learning
Lijuan Liu
Yin Yang
Yi Yuan
Tianjia Shao
He Wang
Kun Zhou
30
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08 Feb 2021
Graph Coarsening with Neural Networks
Chen Cai
Dingkang Wang
Yusu Wang
DD
184
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02 Feb 2021
Generating a Doppelganger Graph: Resembling but Distinct
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Ru Huang
Jie Chen
Yuanzhe Xi
55
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SceneGen: Learning to Generate Realistic Traffic Scenes
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K. Wong
Shenlong Wang
S. Manivasagam
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R. Urtasun
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16 Jan 2021
Deep Graph Generators: A Survey
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
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120
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Molecular graph generation with Graph Neural Networks
P. Bongini
Monica Bianchini
F. Scarselli
GNN
126
145
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14 Dec 2020
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
316
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09 Dec 2020
Generative Layout Modeling using Constraint Graphs
W. Para
Paul Guerrero
Tom Kelly
Leonidas Guibas
Peter Wonka
88
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26 Nov 2020
Deep Generative Modeling in Network Science with Applications to Public Policy Research
Gavin Hartnett
R. Vardavas
Lawrence Baker
Michael Chaykowski
C. Gibson
F. Girosi
David Kennedy
Osonde A. Osoba
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15 Oct 2020
Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences
Karl D. D. Willis
Yewen Pu
Jieliang Luo
Hang Chu
Tao Du
Joseph G. Lambourne
Armando Solar-Lezama
Wojciech Matusik
104
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A Unifying Review of Deep and Shallow Anomaly Detection
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Jacob R. Kauffmann
Robert A. Vandermeulen
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Wojciech Samek
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Thomas G. Dietterich
Klaus-Robert Muller
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Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph
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Mohamed Ali Mahjoub
I. Rekik
MedIm
66
12
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23 Sep 2020
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
Jeevan Devaranjan
Amlan Kar
Sanja Fidler
81
89
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20 Aug 2020
Hierarchical BiGraph Neural Network as Recommendation Systems
Dom Huh
39
1
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27 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
159
150
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13 Jul 2020
Scalable Deep Generative Modeling for Sparse Graphs
H. Dai
Azade Nazi
Yujia Li
Bo Dai
Dale Schuurmans
BDL
87
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28 Jun 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Kai-Wei Chang
Yizhou Sun
SSL
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180
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Non-Parametric Graph Learning for Bayesian Graph Neural Networks
Soumyasundar Pal
Saber Malekmohammadi
Florence Regol
Yingxue Zhang
Yishi Xu
Mark Coates
66
11
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23 Jun 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen
Lingfei Wu
Mohammed J Zaki
121
420
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Categorical Normalizing Flows via Continuous Transformations
Phillip Lippe
E. Gavves
BDL
146
44
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Isometric Graph Neural Networks
Matthew Walker
Bo Yan
Yiou Xiao
Yafei Wang
Ayan Acharya
GNN
26
2
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16 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
97
11
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09 Jun 2020
DeepGG: a Deep Graph Generator
Julian Stier
Michael Granitzer
GNN
BDL
51
5
0
07 Jun 2020
Auto-decoding Graphs
Sohil Shah
V. Koltun
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62
4
0
04 Jun 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders
Erik H. Thiede
Truong-Son Hy
Risi Kondor
66
35
0
08 Apr 2020
PolyGen: An Autoregressive Generative Model of 3D Meshes
C. Nash
Yaroslav Ganin
A. Eslami
Peter W. Battaglia
AI4CE
118
261
0
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Latent Variable Modelling with Hyperbolic Normalizing Flows
A. Bose
Ariella Smofsky
Renjie Liao
Prakash Panangaden
William L. Hamilton
DRL
75
69
0
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Graph Deconvolutional Generation
Daniel Flam-Shepherd
Tony C Wu
Alán Aspuru-Guzik
BDL
152
31
0
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Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
129
289
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Goal-directed graph construction using reinforcement learning
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
65
16
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GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
Nikhil Goyal
Harsh Jain
Sayan Ranu
56
93
0
22 Jan 2020
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