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SE-VGAE: Unsupervised Disentangled Representation Learning for
  Interpretable Architectural Layout Design Graph Generation

SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation

25 June 2024
Jielin Chen
R. Stouffs
    CoGe
ArXivPDFHTML

Papers citing "SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation"

3 / 3 papers shown
Title
On Evaluation Metrics for Graph Generative Models
On Evaluation Metrics for Graph Generative Models
Rylee Thompson
Boris Knyazev
Elahe Ghalebi
Jungtaek Kim
Graham W. Taylor
EGVM
35
31
0
24 Jan 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 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
228
3,202
0
24 Nov 2016
1