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 (CHIL, 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)

HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention. - Lorenzo Bini; Fatemeh Nassajian Mojarrad; Thomas Matthes; 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)

Characterizing Massive Activations of Attention Mechanism in Graph Neural Networks. - Lorenzo Bini; Marco Sorbi; Stéphane Marchand-Maillet (CoRR, 2024)

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations. - Lorenzo Bini; Stéphane Marchand-Maillet (CoRR, 2025)

Self-Supervised Graph Learning via Spectral Bootstrapping and Laplacian-Based Augmentations. - Lorenzo Bini; Stéphane Marchand-Maillet (CoRR, 2025)