ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.19337
  4. Cited By
HiGen: Hierarchical Graph Generative Networks

HiGen: Hierarchical Graph Generative Networks

30 May 2023
Mahdi Karami
ArXivPDFHTML

Papers citing "HiGen: Hierarchical Graph Generative Networks"

4 / 4 papers shown
Title
GraphRCG: Self-Conditioned Graph Generation
GraphRCG: Self-Conditioned Graph Generation
Song Wang
Zhen Tan
Xinyu Zhao
Tianlong Chen
Huan Liu
Jundong Li
34
0
0
02 Mar 2024
Sparse Training of Discrete Diffusion Models for Graph Generation
Sparse Training of Discrete Diffusion Models for Graph Generation
Yiming Qin
Clément Vignac
Pascal Frossard
17
12
0
03 Nov 2023
Diffusion Models for Graphs Benefit From Discrete State Spaces
Diffusion Models for Graphs Benefit From Discrete State Spaces
K. Haefeli
Karolis Martinkus
Nathanael Perraudin
Roger Wattenhofer
DiffM
71
51
0
04 Oct 2022
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
41
0
24 Jan 2022
1