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Lirida Naviner

2 accepted papers

2026

Feature-aware (Hyper)graph Generation via Next-Scale Prediction

ICML 2026poster

Graph generative models perform well on small structured data but struggle to scale to large, complex structures. Hierarchical approaches improve scalability but often ignore node and edge features, which are critical in real-world applications, particularly for hypergraphs that model higher-order r…

Cited by 0SourceScholar
2025

HYGENE: A Diffusion-Based Hypergraph Generation Method

AAAI 2025technical

Hypergraphs are powerful mathematical structures that can model complex, high-order relationships in various domains, including social networks, bioinformatics, and recommender systems. However, generating realistic and diverse hypergraphs remains challenging due to their inherent complexity and lac…