MLNTeam-Unical

Resources

Software tools

SONAR - A Web-based tool for multi-modal exploration of Non-Fungible Token Inspiration Networks
SONAR - A Web-based tool for multi-modal exploration of Non-Fungible Token Inspiration Networks

SONAR is conceived to support both creators and traders in the Web3 through an interactive visualization of inspiration driven connections between NFTs, at both individual level and collection level. Demo video here.

ML-Link - Link Prediction on Multilayer Networks through Learning of Within-Layer and Across-Layer Node-Pair Structural Features and Node Embedding Similarity
ML-Link - Link Prediction on Multilayer Networks through Learning of Within-Layer and Across-Layer Node-Pair Structural Features and Node Embedding Similarity

A graph learning framework for link prediction on (attributed) multilayer networks, which originally combines (i) pairwise similarities of multilayer node embeddings learned by a GNN, and (ii) node-pair structural features learned from within-/across-layer link information based on overlapping multilayer neighborhoods. Download here.

Co-MLHAN -  Contrastive Learning for Multilayer Heterogeneous Attributed Networks
Co-MLHAN - Contrastive Learning for Multilayer Heterogeneous Attributed Networks

A self-supervised graph representation learning approach based on cross-view contrastive learning conceived for multilayer heterogeneous attributed networks. Download here.

ML-GNN - Graph convolutional and attention models for Entity Classification in Multilayer Networks
ML-GNN - Graph convolutional and attention models for Entity Classification in Multilayer Networks

A GNN framework for representation learning and semi-supervised classification in multilayer networks with attributed entities, arbitrary number of layers and intra-/inter-layer connections between nodes. Download here.

LawNet-Viz - A Web-based tool for the modeling, analysis and visualization of Law Reference Networks
LawNet-Viz - A Web-based tool for the modeling, analysis and visualization of Law Reference Networks

LawNetViz, a web-based tool designed to support legal research tasks and help legal professionals as well as laymen visually exploring the article connections built upon the explicit law references detected in the article contents. Demo video here.

EMCD - A Software Package for Ensemble-based Community Detection in Multilayer Networks
EMCD - A Software Package for Ensemble-based Community Detection in Multilayer Networks

EMCD is a software system for finding a community structure in a multilayer network by using an ensemble-based approach. Download here.

ML-LCD - A Software Package for Local Community Detection in Multilayer Networks
ML-LCD - A Software Package for Local Community Detection in Multilayer Networks

ML-LCD is a software system for finding a community that is specific to a query node and relies on limited information about the network structure. Download here.

Datasets

The NFT-70M Dataset
The NFT-70M Dataset

The NFT-70M_transactions dataset is the largest and most up-to-date collection of Non-Fungible Tokens (NFT) transactions between 2021 and 2023 sourced from OpenSea, the leading trading platform in the Web3 ecosystem.

Drivers of social influence in the Twitter migration to Mastodon @SciRep-2023
Drivers of social influence in the Twitter migration to Mastodon @SciRep-2023

Our dataset of the social network of about 75,000 migrated users that was used to study the 2021 TwitterMigration phenomenon — a rapid and extensive migration of Twitter users to the decentralized social platform Mastodon.

Mastodon users and instances networks edgelist
Mastodon users and instances networks edgelist

Our dataset contains the Mastodon users and instances networks as of late 2020. It was used in several studies (APNS2021, OSNEM2022, ICWSM2022) aimed at analyzing the growth of the Fediverse and Mastodon.

Instagram @Hypertext-2014
Instagram @Hypertext-2014

This is a widely recognized Instagram dump (README) that was built up here in 2014, by Andrea T. and Roberto Interdonato, and analyzed in a paper presented at the 2014 ACM Hypertext and Social Media conference. Email us to get a copy!