GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation

18 July 2021

Papers citing "GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation"

9 / 9 papers shown

Title
Generative Modelling of Structurally Constrained Graphs Manuel Madeira Clément Vignac D. Thanou Pascal Frossard DiffM 53 0 0 25 Jun 2024
Exploring the Potential of Large Language Models in Graph Generation Yang Yao Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Xu Chu Yuekui Yang Wenwu Zhu Hong-yan Mei 43 11 0 21 Mar 2024
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models Iakovos Evdaimon Giannis Nikolentzos Michail Chatzianastasis Hadi Abdine Michalis Vazirgiannis DiffM 35 4 0 03 Mar 2024
Classifier-free graph diffusion for molecular property targeting Matteo Ninniri Marco Podda Davide Bacciu 37 5 0 28 Dec 2023
A Simple and Scalable Representation for Graph Generation Yunhui Jang Seul Lee Sungsoo Ahn 24 4 0 04 Dec 2023
ChemAlgebra: Algebraic Reasoning on Chemical Reactions Andrea Valenti D. Bacciu Antonio Vergari OOD LRM 32 0 0 05 Oct 2022
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 31 67 0 13 Mar 2022
On Evaluation Metrics for Graph Generative Models Rylee Thompson Boris Knyazev Elahe Ghalebi Jungtaek Kim Graham W. Taylor EGVM 40 41 0 24 Jan 2022
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions Leslie O’Bray Max Horn Bastian Alexander Rieck Karsten M. Borgwardt 19 40 0 02 Jun 2021