Manuel Dileo's Projects
Box embedding model for temporal knowledge graph completion. AAAI paper: https://arxiv.org/abs/2109.08970
A python script to export in a xlsx file all your cards in all your wants list.
Data-driven induction of fuzzy sets in forensics, Bachelor Degree in Computer Science, University of Milan.
Dynamic Graph Benchmark
Collection of datasets about interactions between Doctor Who characters from 1963 to April 2021.
Graph deep learning framework for temporal heterogeneous networks
Analysis of the interactions between twitter users during the doctor who watchalongs organized because of COVID-19
Pytorch implementation of a dynamic gnn based on Roland framework
Curated list of Graph Neural Network Applications in Business, Finance and Banking
A gentle introduction to Graph Neural Networks in Pytorch Geometric
An object oriented Java program for language recognition based on the analysis of frequencies. The program is able to read entire books in different languages to better learn each language. Javadoc included.
Sw project for the course of Algorithms for Massive Datasets, Master Degree in Computer Science at Unimi, a.y 20/21
Deep learning models on blockchain social network to perform link prediction with network and content-based information
Sparse-matrices based implementation of heuristics for link prediction
Config files for my GitHub profile.
A python package for inducing membership functions from labeled data
Esempi di visualizzazioni di grafi e fenomeni su grafi "non semplici" illustrati per il corso di Visualizzazione Scientifica A.A. 2020-2021
Graph Neural Network Library for PyTorch
official project repository
A simple assembly project that simulates a match between a player and the computer at the famous Italian card game "Seven and a half". It includes macros, functions, syscalls, floating point operations.
Graph structure learning baselines
T3GNN (GNN for temporal transaction and textual content)
TGB baselines for dynamic link property prediction
Knowledge Graph Completion models with temporal regulariser
Quick start to use unimi INDACO for Machine Learning
Sw project for the course of Statistical Methods for Machine Learning, Master Degree in Computer Science at Unimi, a.y 20/21