Resources
Software tools
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.
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.
A self-supervised graph representation learning approach based on cross-view contrastive learning conceived for multilayer heterogeneous attributed networks. Download here.
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.
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 is a software system for finding a community structure in a multilayer network by using an ensemble-based approach. Download here.
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_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.
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.
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.
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!