List of Publications

Conference Papers

ICML 2026 | Graph Diffusion Models, Hypergraphs

SuperHype: Hypergraph Generation via Graph-Superposition Decomposition

Lucas Gantes, Abele Malan, Roberto Gheda, Robert Birke, Lydia Y. Chen
A diffusion model for hypergraphs, with a scalable latent representation.

ICLR 2026 | Graph Diffusion Models, Watermarking, Graph Spectra, GenAI Security

CheckMate! Watermarking Graph Diffusion Models in Polynomial Time

Roberto Gheda, Abele Malan, Robert Birke, Maksim Kitsak, Lydia Y. Chen
A watermarking framework for graph diffusion models, with verification in polynomial time.

NeurIPS 2025 | Bayesian Networks, Federated Inference, Causal Inference

Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks

Roberto Gheda, Abele Malan, Thiago Guzella, Carlo Lancia, Robert Birke, Lydia Y. Chen
A multi-party root-cause analysis framework for Bayesian Networks, with improved scalability and precision.

Workshop and Under Review

ICLR 2026 Workshop on Test-Time Updates | Graph Diffusion Models, Graph Extrapolation

Test-time Graph Extrapolation via Progressive Anchor-Guided Expansion

Abele Malan, Roberto Gheda, Robert Birke, Lydia Y. Chen
Sampling conditioning to preserve validity of graphs generated by diffusion models at scale.

Under Review | Graph Diffusion Models, Attributed Graphs

MAGiC: Attributed Graph Generation via Mixed-type Diffusion and Coarsening

Abele Malan, Roberto Gheda, Robert Birke, Lydia Y. Chen
A diffusion model for generating graphs with rich node features.