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1910.00760
Cited By
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 / 194 papers shown
Title
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation
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Vishal Rana
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Abhishek Pandey
O. Milenkovic
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Make Autoregressive Great Again: Diffusion-Free Graph Generation with Next-Scale Prediction
Samuel Belkadi
Steve Hong
Marian Chen
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30 Mar 2025
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs
Yoann Boget
Alexandros Kalousis
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68
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27 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Milan Papez
Martin Rektoris
Václav Smídl
Tomás Pevný
TPM
78
0
0
15 Mar 2025
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling
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Jenna Wiens
Karsten M. Borgwardt
Dexiong Chen
93
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04 Feb 2025
DiffGraph: Heterogeneous Graph Diffusion Model
Zongwei Li
Lianghao Xia
Hua Hua
Shijie Zhang
Shuangyang Wang
Chenyu Huang
41
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04 Jan 2025
Graph Generative Pre-trained Transformer
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Yinkai Wang
Jiaxing He
Yuanqi Du
S. Hassoun
Xiaolin Xu
Li Liu
48
1
0
03 Jan 2025
RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting
Yilei Jiang
Yingshui Tan
Xiangyu Yue
KELM
LRM
46
4
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25 Dec 2024
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions
Mai Elkady
Thu Bui
Bruno Ribeiro
David I. Inouye
72
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0
20 Nov 2024
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
Mufei Li
Viraj Shitole
Eli Chien
Changhai Man
Zhaodong Wang
Srinivas Sridharan
Ying Zhang
Tushar Krishna
P. Li
41
0
0
04 Nov 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan
Ruyi Ding
Jiaxing He
A. A. Ding
Yunsi Fei
Xiaolin Xu
31
0
0
04 Oct 2024
Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method
Abhijeet Sahu
Truc Nguyen
Kejun Chen
Xiangyu Zhang
Malik Hassanaly
40
1
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Samuel Cognolato
A. Sperduti
Luciano Serafini
DiffM
43
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23 Aug 2024
Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions
K. Balog
John Palowitch
Barbara Ikica
Filip Radlinski
Hamidreza Alvari
Mehdi Manshadi
SyDa
47
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0
15 Aug 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Tobias Bernecker
Ghalia Rehawi
Francesco Paolo Casale
Janine Knauer-Arloth
Annalisa Marsico
38
1
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08 Aug 2024
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
Sumeyye Bas
Kıymet Kaya
Resul Tugay
Ş. Öğüdücü
28
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20 Jul 2024
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation
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CoGe
43
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25 Jun 2024
Generative Modelling of Structurally Constrained Graphs
Manuel Madeira
Clément Vignac
D. Thanou
Pascal Frossard
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53
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Cometh: A continuous-time discrete-state graph diffusion model
Antoine Siraudin
Fragkiskos D. Malliaros
Christopher Morris
41
3
0
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Variational Flow Matching for Graph Generation
Floor Eijkelboom
Grigory Bartosh
C. A. Naesseth
Max Welling
Jan-Willem van de Meent
31
10
0
07 Jun 2024
Score-based Generative Models with Adaptive Momentum
Ziqing Wen
Xiaoge Deng
Ping Luo
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Dongsheng Li
DiffM
39
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0
22 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu
Ruizhong Qiu
Yuzhong Chen
Huiyuan Chen
Xiran Fan
Menghai Pan
Zhichen Zeng
Mahashweta Das
Hanghang Tong
51
10
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19 May 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
AI4CE
50
6
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OpenGraph: Towards Open Graph Foundation Models
Lianghao Xia
Ben Kao
Chao Huang
AI4CE
35
37
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02 Mar 2024
GraphRCG: Self-Conditioned Graph Generation
Song Wang
Zhen Tan
Xinyu Zhao
Tianlong Chen
Huan Liu
Wenlin Yao
50
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02 Mar 2024
Graph Diffusion Policy Optimization
Yijing Liu
Chao Du
Tianyu Pang
Chongxuan Li
Wei Chen
Min Lin
37
7
0
26 Feb 2024
Artificial Intelligence for Complex Network: Potential, Methodology and Application
Jingtao Ding
Chang Liu
Y. Zheng
Yunke Zhang
Zihan Yu
...
Hongyi Chen
J. Piao
Huandong Wang
Jiazhen Liu
Yong Li
AI4CE
38
11
0
23 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
Lingxiao Zhao
Xueying Ding
Leman Akoglu
DiffM
29
8
0
06 Feb 2024
Overcoming Order in Autoregressive Graph Generation
Edo Cohen-Karlik
Eyal Rozenberg
Daniel Freedman
36
1
0
04 Feb 2024
Unsupervised Learning of Graph from Recipes
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Antonis Bikakis
Luke Dickens
Anthony Hunter
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SSL
23
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22 Jan 2024
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
Nianzu Yang
Kaipeng Zeng
Haotian Lu
Yexin Wu
Zexin Yuan
Danni Chen
Shengdian Jiang
Jiaxiang Wu
Yimin Wang
Junchi Yan
16
1
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17 Jan 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data
Michalis Pistos
Gang Li
Weili Lin
Dinggang Shen
I. Rekik
23
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01 Jan 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Baran Hashemi
Claudius Krause
30
16
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15 Dec 2023
Efficient and Scalable Graph Generation through Iterative Local Expansion
Andreas Bergmeister
Karolis Martinkus
Nathanael Perraudin
Roger Wattenhofer
25
12
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14 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
Ling-Hao Chen
Yuanshuo Zhang
Taohua Huang
Liangcai Su
Zeyi Lin
Xi Xiao
Xiaobo Xia
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NoLa
36
9
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13 Dec 2023
A Simple and Scalable Representation for Graph Generation
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Seul Lee
Sungsoo Ahn
27
4
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04 Dec 2023
Leveraging Graph Diffusion Models for Network Refinement Tasks
Puja Trivedi
Ryan A. Rossi
David Arbour
Tong Yu
Franck Dernoncourt
Sungchul Kim
Nedim Lipka
Namyong Park
Nesreen K. Ahmed
Danai Koutra
DiffM
34
0
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29 Nov 2023
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
K. Limbeck
R. Andreeva
Rik Sarkar
Bastian Alexander Rieck
34
3
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27 Nov 2023
Sparse Training of Discrete Diffusion Models for Graph Generation
Yiming Qin
Clément Vignac
Pascal Frossard
27
12
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CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model
Jui-Yi Tsai
Ya-Wen Teng
Ho Chiok Yew
De-Nian Yang
Lydia Y. Chen
DiffM
33
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EDGE++: Improved Training and Sampling of EDGE
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DiffM
18
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GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
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Vamsi K. Potluru
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DiffM
42
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ARTree: A Deep Autoregressive Model for Phylogenetic Inference
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Cheng Zhang
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Data-centric Graph Learning: A Survey
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Deyu Bo
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Yufei Peng
Chuan Shi
GNN
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Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis
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Wentao Guo
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Shang Xiang
Wentan Liu
Guolin Ke
57
12
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27 Sep 2023
SANGEA: Scalable and Attributed Network Generation
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Towards Data-centric Graph Machine Learning: Review and Outlook
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Yixin Liu
Zhifeng Bao
Meng Fang
Xia Hu
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GNN
AI4CE
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CktGNN: Circuit Graph Neural Network for Electronic Design Automation
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Weidong Cao
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AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies
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J. Ludwiczak
Kyunghyun Cho
Weishao Lian
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Yunsheng Wu
Richard Bonneau
Vladimir Gligorijević
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DiffM
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Autoregressive Diffusion Model for Graph Generation
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Jiaming Cui
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Yuchen Zhuang
B. Prakash
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DiffM
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65
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