On Evaluation Metrics for Graph Generative Models

On Evaluation Metrics for Graph Generative Models

24 January 2022

Boris Knyazev

Graham W. Taylor

Papers citing "On Evaluation Metrics for Graph Generative Models"

9 / 9 papers shown

Title
Challenges of Generating Structurally Diverse Graphs Fedor Velikonivtsev Mikhail Mironov Liudmila Prokhorenkova 34 3 0 27 Sep 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel Meng-Chieh Lee Lingxiao Zhao L. Akoglu 18 3 0 08 Feb 2024
Metric Space Magnitude for Evaluating the Diversity of Latent Representations K. Limbeck R. Andreeva Rik Sarkar Bastian Alexander Rieck 22 3 0 27 Nov 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang Leilei Sun Bowen Du Weifeng Lv 40 40 0 01 Jan 2023
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 29 42 0 04 Dec 2022
GrannGAN: Graph annotation generative adversarial networks Yoann Boget Magda Gregorova Alexandros Kalousis GAN 15 0 0 01 Dec 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 17 21 0 19 Nov 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 27 10 0 30 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