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Hierarchical community-based graph generation model for improving structural diversity

delete2025-09-02
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PRE
AI
M
Masoomeh Sadat Razavi *
A
Abdolreza Mirzaei
M
Mehran Safayani
DOI：10.1016/j.patcog.2025.112320delete
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Abstract

Abstract

En 中文
• A novel hierarchical community-aware framework for parallel generation of structurally diverse graphs. • Solves critical scalability issues in large-scale graph generation. • Achieves significantly faster generation than state-of-the-art models. • Handles heterogeneous structures and outperforms advanced models on real-world datasets.

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

No organization information available