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Graphite: Iterative Generative Modeling of Graphs

Graphite: Iterative Generative Modeling of Graphs

28 March 2018
Aditya Grover
Aaron Zweig
Stefano Ermon
    BDL
ArXivPDFHTML

Papers citing "Graphite: Iterative Generative Modeling of Graphs"

50 / 157 papers shown
Title
A Framework for Large Scale Synthetic Graph Dataset Generation
A Framework for Large Scale Synthetic Graph Dataset Generation
Sajad Darabi
P. Bigaj
Dawid Majchrowski
Artur Kasymov
Pawel M. Morkisz
A. Fit-Florea
35
4
0
04 Oct 2022
SCGG: A Deep Structure-Conditioned Graph Generative Model
SCGG: A Deep Structure-Conditioned Graph Generative Model
Faezeh Faez
Negin Hashemi Dijujin
M. Baghshah
Hamid R. Rabiee
GNN
BDL
25
4
0
20 Sep 2022
Graph Neural Networks for Molecules
Graph Neural Networks for Molecules
Yuyang Wang
Zijie Li
A. Farimani
GNN
AI4CE
45
20
0
12 Sep 2022
Multimodal learning with graphs
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
51
82
0
07 Sep 2022
Large-Scale Auto-Regressive Modeling Of Street Networks
Large-Scale Auto-Regressive Modeling Of Street Networks
Michael Birsak
Tom Kelly
W. Para
Peter Wonka
GNN
AI4TS
9
5
0
01 Sep 2022
Node Copying: A Random Graph Model for Effective Graph Sampling
Node Copying: A Random Graph Model for Effective Graph Sampling
Florence Regol
Soumyasundar Pal
Jianing Sun
Yingxue Zhang
Yanhui Geng
Mark J. Coates
29
5
0
04 Aug 2022
Graph Generative Model for Benchmarking Graph Neural Networks
Graph Generative Model for Benchmarking Graph Neural Networks
Minji Yoon
Yue Wu
John Palowitch
Bryan Perozzi
Ruslan Salakhutdinov
17
7
0
10 Jul 2022
GEMS: Scene Expansion using Generative Models of Graphs
GEMS: Scene Expansion using Generative Models of Graphs
Rishi G. Agarwal
Tirupati Saketh Chandra
Vaidehi Patil
Aniruddha Mahapatra
K. Kulkarni
Vishwa Vinay
30
4
0
08 Jul 2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs
Decoupled Self-supervised Learning for Non-Homophilous Graphs
Teng Xiao
Zhengyu Chen
Zhimeng Guo
Zeyang Zhuang
Suhang Wang
BDL
SSL
25
18
0
07 Jun 2022
Generating Topological Structure of Floorplans from Room Attributes
Generating Topological Structure of Floorplans from Room Attributes
Yu Yin
Will Hutchcroft
Naji Khosravan
Ivaylo Boyadzhiev
Y. Fu
S. B. Kang
19
2
0
26 Apr 2022
Explanation Graph Generation via Pre-trained Language Models: An
  Empirical Study with Contrastive Learning
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning
Swarnadeep Saha
Prateek Yadav
Joey Tianyi Zhou
11
9
0
11 Apr 2022
Gransformer: Transformer-based Graph Generation
Gransformer: Transformer-based Graph Generation
Ahmad Khajenezhad
Seyed Ali Osia
Mahmood Karimian
H. Beigy
22
2
0
25 Mar 2022
Disentangled Spatiotemporal Graph Generative Models
Disentangled Spatiotemporal Graph Generative Models
Yuanqi Du
Xiaojie Guo
Hengning Cao
Yanfang Ye
Liang Zhao
31
21
0
28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints
Interpretable Molecular Graph Generation via Monotonic Constraints
Yuanqi Du
Xiaojie Guo
Amarda Shehu
Liang Zhao
63
19
0
28 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang
Carl Yang
Pan Li
GNN
AI4CE
41
55
0
18 Feb 2022
Score-based Generative Modeling of Graphs via the System of Stochastic
  Differential Equations
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Jaehyeong Jo
Seul Lee
Sung Ju Hwang
DiffM
22
210
0
05 Feb 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and
  Link Prediction
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
13
49
0
02 Feb 2022
ReGAE: Graph autoencoder based on recursive neural networks
ReGAE: Graph autoencoder based on recursive neural networks
Adam Malkowski
Jakub Grzechociñski
Pawel Wawrzyñski
GNN
35
0
0
28 Jan 2022
On the Power of Edge Independent Graph Models
On the Power of Edge Independent Graph Models
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
25
15
0
29 Oct 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
25
3
0
29 Oct 2021
Deconvolutional Networks on Graph Data
Deconvolutional Networks on Graph Data
Jia Li
Jiajin Li
Yang Liu
Jianwei Yu
Yueting Li
Hongtao Cheng
GNN
23
21
0
29 Oct 2021
Iterative Refinement Graph Neural Network for Antibody
  Sequence-Structure Co-design
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Wengong Jin
Jeremy Wohlwend
Regina Barzilay
Tommi Jaakkola
22
136
0
09 Oct 2021
Unconditional Scene Graph Generation
Unconditional Scene Graph Generation
Sarthak Garg
Helisa Dhamo
Azade Farshad
Sabrina Musatian
Nassir Navab
F. Tombari
15
23
0
12 Aug 2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph
  Autoencoders
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
Guillaume Salha-Galvan
Romain Hennequin
Benjamin Chapus
Viet-Anh Tran
Michalis Vazirgiannis
19
20
0
02 Aug 2021
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization
  in Visual Question Answering
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering
Jingjing Jiang
Zi-yi Liu
Yifan Liu
Zhixiong Nan
N. Zheng
OOD
36
19
0
24 Jul 2021
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph
  Generation
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation
Marco Podda
D. Bacciu
BDL
30
9
0
18 Jul 2021
Relational VAE: A Continuous Latent Variable Model for Graph Structured
  Data
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
Charilaos Mylonas
I. Abdallah
Eleni Chatzi
BDL
16
1
0
30 Jun 2021
Generating the Graph Gestalt: Kernel-Regularized Graph Representation
  Learning
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
Kiarash Zahirnia
A. Sakhuja
Oliver Schulte
P. Nadaf
Ke Li
Xia Hu
16
0
0
29 Jun 2021
A Deep Latent Space Model for Graph Representation Learning
A Deep Latent Space Model for Graph Representation Learning
Hanxuan Yang
Qingchao Kong
Wenji Mao
BDL
16
1
0
22 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
30
118
0
12 Jun 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
16
659
0
10 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Susheel Suresh
Pan Li
Cong Hao
Jennifer Neville
AAML
21
333
0
10 Jun 2021
Operator Autoencoders: Learning Physical Operations on Encoded Molecular
  Graphs
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs
Willis Hoke
D. Shea
S. Casey
AI4CE
27
0
0
26 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Yecheng Lyu
Xinming Huang
Ziming Zhang
GNN
25
4
0
23 May 2021
Livewired Neural Networks: Making Neurons That Fire Together Wire
  Together
Livewired Neural Networks: Making Neurons That Fire Together Wire Together
Thomas Schumacher
30
4
0
17 May 2021
Permutation-Invariant Variational Autoencoder for Graph-Level
  Representation Learning
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
R. Winter
Frank Noé
Djork-Arné Clevert
BDL
SSL
19
23
0
20 Apr 2021
ExplaGraphs: An Explanation Graph Generation Task for Structured
  Commonsense Reasoning
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Swarnadeep Saha
Prateek Yadav
Lisa Bauer
Joey Tianyi Zhou
LRM
44
56
0
15 Apr 2021
The Future is not One-dimensional: Complex Event Schema Induction by
  Graph Modeling for Event Prediction
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction
Manling Li
Sha Li
Zhenhailong Wang
Lifu Huang
Kyunghyun Cho
Heng Ji
Jiawei Han
Clare R. Voss
31
54
0
13 Apr 2021
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction
Xinxing Wu
Q. Cheng
GNN
AI4CE
20
11
0
21 Mar 2021
Network Representation Learning: From Traditional Feature Learning to
  Deep Learning
Network Representation Learning: From Traditional Feature Learning to Deep Learning
Ke Sun
Lei Wang
Bo Xu
Wenhong Zhao
S. Teng
Feng Xia
GNN
25
28
0
07 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
37
296
0
03 Mar 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
30
979
0
19 Feb 2021
Generating a Doppelganger Graph: Resembling but Distinct
Generating a Doppelganger Graph: Resembling but Distinct
Yuliang Ji
Ru Huang
Jie Chen
Yuanzhe Xi
27
2
0
23 Jan 2021
Deep Graph Generators: A Survey
Deep Graph Generators: A Survey
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNN
AI4CE
50
57
0
31 Dec 2020
Graph Autoencoders with Deconvolutional Networks
Graph Autoencoders with Deconvolutional Networks
Jia Li
Tomas Yu
Da-Cheng Juan
Arjun Gopalan
Hong Cheng
Andrew Tomkins
GNN
16
7
0
22 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Molecular graph generation with Graph Neural Networks
Molecular graph generation with Graph Neural Networks
P. Bongini
Monica Bianchini
F. Scarselli
GNN
28
136
0
14 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
Rajgopal Kannan
Viktor Prasanna
Long Jin
Ren Chen
GNN
14
24
0
02 Dec 2020
Graph-Based Neural Network Models with Multiple Self-Supervised
  Auxiliary Tasks
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks
Franco Manessi
A. Rozza
SSL
11
40
0
14 Nov 2020
Parameterized Explainer for Graph Neural Network
Parameterized Explainer for Graph Neural Network
Dongsheng Luo
Wei Cheng
Dongkuan Xu
Wenchao Yu
Bo Zong
Haifeng Chen
Xiang Zhang
35
540
0
09 Nov 2020
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