Social Network Analysis and Visualization software application.

A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.

Tools to construct and process webgraphs from Common Crawl data

WebGraph is a framework for graph compression.

Identification and Classification of the Most Influential Nodes

Temporal Walk Based Centrality Metric for Graph Streams

WebGraph is a framework for graph compression.

DEBS 2021: Graph Stream Analytics tutorial

A statistical framework for feature selection and association mapping with 3D shapes

Identification and Classification of the Most Influential Nodes

Node Classification with Graph Neural Networks

Code used for the paper "Node and layer eigenvector centralities for multiplex networks", Tudisco, Arrigo, Gautier, SIAM J. Appl. Math 2017

This repository contains FDP'18 presentations and R scripts.

Teaching material that I prepared as a TA for the laboratories of the Network Dynamics and Learning course for the MSc in Data Science and Engineering at Politecnico di Torino.

Topological data analytic approach for discovering biophysical signatures in protein dynamics

Graph Algorithm with ML and Neo4j

Mitigating epidemic spread with mobility network modeling

Migration networks and housing prices analysis and ML tools

MLP-Rank: A graph theoretical approach to structured pruning of deep neural networks based on weighted Page Rank centrality as introduced by the related thesis.