Lorenzo Bini

According to our database, Lorenzo Bini authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Self-Supervised Graph Learning via Spectral Bootstrapping and Laplacian-Based Augmentations.

Lorenzo Bini, Stéphane Marchand-Maillet

CoRR, June, 2025

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations.

Lorenzo Bini, Stéphane Marchand-Maillet

CoRR, June, 2025

2024

Characterizing Massive Activations of Attention Mechanism in Graph Neural Networks.

Lorenzo Bini, Marco Sorbi, Stéphane Marchand-Maillet

CoRR, 2024

Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction.

Fatemeh Nassajian Mojarrad, Lorenzo Bini, Thomas Matthes, Stéphane Marchand-Maillet

CoRR, 2024

HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention.

Lorenzo Bini, Fatemeh Nassajian Mojarrad, Thomas Matthes, Stéphane Marchand-Maillet

CoRR, 2024

Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph.

Fatemeh Nassajian Mojarrad, Lorenzo Bini, Thomas Matthes, Stéphane Marchand-Maillet

CoRR, 2024

FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking.

Lorenzo Bini, Fatemeh Nassajian Mojarrad, Margarita Liarou, Thomas Matthes, Stéphane Marchand-Maillet

Proceedings of the Conference on Health, 2024