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LorenzoBini4/README.md

🔥 About Me:

I'm a Ph.D. Candidate in Artificial Intelligence at the University of Geneva.
My research interests on Graph Neural Networks include Graph Adversarial Learning, Representation Learning, and Self-Supervised Learning.
I'm currently working on detecting Minimal Residual Disease (MRD) of Acute Lymphoblastic and Myeloid Leukemia at HUG.
Additionally, I'm also involved as a teaching assistant for the “Introduction to Computational Finance”, “Natural Language Processing” and "Information Retrieval" courses at the CUI.

🌐 Socials:

LinkedIn X

💻 ML/DL Stack:

Python R Keras Matplotlib mlflow NumPy Plotly PyTorch scikit-learn Pandas Scipy TensorFlow GitHub GitLab Julia

📊 GitHub Stats:


🔝 Top Contributed Repo

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  1. FCHC-GNN-Hierarchical FCHC-GNN-Hierarchical Public

    ICML2024@AccMLBio-Workshop official repository implementation for "Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction"

    Python 1

  2. FlowCyt-Classification-Benchmark FlowCyt-Classification-Benchmark Public

    Forked from VIPER-GENEVA/FlowCyt-Classification-Benchmark

    Official repository implementation for "FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking” @CHIL2024

    Python

  3. RobustGNN_Library RobustGNN_Library Public

    Forked from DSE-MSU/DeepRobust

    A pytorch adversarial library for attack and defense methods on images and graphs

    Python

  4. GNN-MAs GNN-MAs Public

    Forked from msorbi/gnn-ma

    Source code for the paper "Characterizing Massive Activations of Attention Mechanism in Graph Neural Networks"

    Python