cs.SI · 2026-09-02 · No. 103
Social and Information Networks, 2026-09-02.
1 new papers in cs.SI. Titles, authors,
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01 — The papers
1 entries-
01
A Network Science Perspective on Evaluating Deep Graph Generative Models
Tianrui Mao, Abele Malan, Megha Khosla, Lydia Chen, Huijuan Wang
cs.SI · cs.AI
Traditional network models from network science, such as the Erdos-Renyi and configuration models, generate random networks that reproduce few selected topological properties observed in real-world networks. Deep graph generative models emerge as a data-driven approach, leveraging deep neural network architectures to learn complex structural distributions directly from real-world networks to generate more realistic synthetic networks. Because...
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