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Edge-based sequential graph generation with recurrent neural networks

Edge-based sequential graph generation with recurrent neural networks

31 January 2020
D. Bacciu
Alessio Micheli
Marco Podda
    GNN
ArXivPDFHTML

Papers citing "Edge-based sequential graph generation with recurrent neural networks"

12 / 12 papers shown
Title
Overcoming Order in Autoregressive Graph Generation
Overcoming Order in Autoregressive Graph Generation
Edo Cohen-Karlik
Eyal Rozenberg
Daniel Freedman
36
1
0
04 Feb 2024
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs
Daniel de Souza Severo
James Townsend
Ashish Khisti
Alireza Makhzani
29
2
0
16 May 2023
NVDiff: Graph Generation through the Diffusion of Node Vectors
NVDiff: Graph Generation through the Diffusion of Node Vectors
Xiaohui Chen
Yukun Li
Aonan Zhang
Liping Liu
DiffM
28
21
0
19 Nov 2022
Gransformer: Transformer-based Graph Generation
Gransformer: Transformer-based Graph Generation
Ahmad Khajenezhad
Seyed Ali Osia
Mahmood Karimian
H. Beigy
27
2
0
25 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications
A Survey on Deep Graph Generation: Methods and Applications
Yanqiao Zhu
Yuanqi Du
Yinkai Wang
Yichen Xu
Jieyu Zhang
Qiang Liu
Shu Wu
3DV
GNN
36
68
0
13 Mar 2022
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
10
0
18 Jul 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph
  Networks
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
Danilo Numeroso
D. Bacciu
29
38
0
16 Apr 2021
Molecular graph generation with Graph Neural Networks
Molecular graph generation with Graph Neural Networks
P. Bongini
Monica Bianchini
F. Scarselli
GNN
30
137
0
14 Dec 2020
A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
48
147
0
13 Jul 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
AI4CE
GNN
51
278
0
29 Dec 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
242
1,340
0
12 Feb 2018
Geometric deep learning: going beyond Euclidean data
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
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