LorenzoBini4
PhD Candidate in Artificial Intelligence at the University of Geneva
University of GenevaGeneva
Pinned Repositories
FCHC-GNN-Hierarchical
ICML2024@AccMLBio-Workshop official repository implementation for "Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction"
FlowCyt-Classification-Benchmark
Official repository implementation for "FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking” @CHIL2024
RobustGNN_Library
A pytorch adversarial library for attack and defense methods on images and graphs
GNN-MAs
Source code for the paper "Characterizing Massive Activations of Attention Mechanism in Graph Neural Networks"
Attention-LeukoGraph
Official repository implementation for "Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph"
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
benchmarking-gnns
Repository for benchmarking graph neural networks
Data_Driven_Science_Python_Demos
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
DeepThinkingGNN
GNN node/graph classification via logical extrapolation.
GNN-HemaGraph
Official repository implementation for "HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention"
LorenzoBini4's Repositories
LorenzoBini4/lorenzobini4.github.io
Personal Academic Webpage
LorenzoBini4/FlowCyt-Classification-Benchmark
Official repository implementation for "FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking” @CHIL2024
LorenzoBini4/DeepThinkingGNN
GNN node/graph classification via logical extrapolation.
LorenzoBini4/GNN-MAs
Source code for the paper "Characterizing Massive Activations of Attention Mechanism in Graph Neural Networks"
LorenzoBini4/FCHC-GNN-Hierarchical
ICML2024@AccMLBio-Workshop official repository implementation for "Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction"
LorenzoBini4/RobustGNN_Library
A pytorch adversarial library for attack and defense methods on images and graphs
LorenzoBini4/GNN-HemaGraph
Official repository implementation for "HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention"
LorenzoBini4/Attention-LeukoGraph
Official repository implementation for "Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph"
LorenzoBini4/viper-geneva.github.io
VIPER UNIGE Official Webpage
LorenzoBini4/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
LorenzoBini4/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
LorenzoBini4/graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
LorenzoBini4/benchmarking-gnns
Repository for benchmarking graph neural networks
LorenzoBini4/Data_Driven_Science_Python_Demos
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton