Research
Our research endeavors span a diverse array of topics, primarily focusing on the intersection of Machine Learning, Natural Language Processing, Graph Mining and Network Science. Our research activities aim to provide insights into emergent phenomena and develop applications with both theoretical and practical significance in various domains, possibily of high-societal impact, such as law and healthcare.
Key areas of investigation include:
- Advanced Clustering Problems: Correlation Clustering, Fairness in Clustering, Polarization, Clustering Ensemble
- Graph Mining and Learning: Node/Subgraph Classification, Link Prediction, Community Detection, Graph Simplification, Multilayer Networks, Heterogeneous Networks, Knowledge Graphs
- Social Media: (Web3 and Decentralized) Online Social Networks, Influence Maximization, Information Diffusion, User Behavior Analysis, Centrality
- NLP and Information Retrieval: Text Representation Learning, Semantic Search, Document Clustering and Classification, Topic Modeling, Multi-view/Multilingual Document Mining, Agents for Large Language Models
- Sequential/Temporal Data Similarity and Representation Learning
- Multimodal Similarity Search, Vision-Audio-Language-Graph Representation Learning
All — Selected Publications, since 2021
2024
Evaluating GPT-3.5's Awareness and Summarization Abilities for European Constitutional Texts with Shared Topics
arXiv
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25 Jan 2024
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doi:10.48550/ARXIV.2401.14524
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
arXiv
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13 Jan 2024
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doi:10.48550/arXiv.2401.07115
2023
Drivers of social influence in the Twitter migration to Mastodon
Scientific Reports
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07 Dec 2023
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doi:10.1038/s41598-023-48200-7
Unraveling the NFT economy: A comprehensive collection of Non-Fungible Token transactions and metadata
Data in Brief
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01 Dec 2023
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doi:10.1016/j.dib.2023.109749
Topic Similarities in Rights and Duties across European Constitutions using Transformer-based Language Models
ACM Hypertext-2023 Workshop on 'Legal Information Retrieval meets Artificial Intelligence Workshop' (LIRAI)
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01 Dec 2023
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Bringing order into the realm of Transformer-based language models for artificial intelligence and law
Artificial Intelligence and Law
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20 Nov 2023
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doi:10.1007/s10506-023-09374-7
Evolution of the Social Debate on Climate Crisis: Insights from Twitter During the Conferences of the Parties
2023 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)
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13 Sep 2023
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doi:10.1109/ICT-DM58371.2023.10286927
SONAR: Web-based Tool for Multimodal Exploration of Non-Fungible Token Inspiration Networks
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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18 Jul 2023
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doi:10.1145/3539618.3591821
A combinatorial multi-armed bandit approach to correlation clustering
Data Mining and Knowledge Discovery
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29 Jun 2023
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doi:10.1007/S10618-023-00937-5
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction
Proceedings of the ACM Web Conference 2023
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30 Apr 2023
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doi:10.1145/3543507.3583520
Exploring domain and task adaptation of LamBERTa models for article retrieval on the Italian Civil Code
The 19th Conference on Information and Research science Connecting to Digital and Library science (IRCDL)
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21 Apr 2023
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Transformer-based language models for mental health issues: A survey
Pattern Recognition Letters
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01 Mar 2023
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doi:10.1016/j.patrec.2023.02.016
Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokens
arXiv
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01 Jan 2023
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doi:10.48550/arXiv.2303.17031
Drivers of social influence in the Twitter migration to Mastodon
arXiv
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01 Jan 2023
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doi:10.48550/arXiv.2305.19056
2022
Co-MLHAN: contrastive learning for multilayer heterogeneous attributed networks
Applied Network Science
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20 Sep 2022
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doi:10.1007/s41109-022-00504-9
Learning to Active Learn by Gradient Variation based on Instance Importance
2022 26th International Conference on Pattern Recognition (ICPR)
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21 Aug 2022
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doi:10.1109/ICPR56361.2022.9956039
LawNet-Viz - A Web-based System to Visually Explore Networks of Law Article References
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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06 Jul 2022
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doi:10.1145/3477495.3531668
Information consumption and boundary spanning in Decentralized Online Social Networks: The case of Mastodon users
Online Social Networks and Media
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01 Jul 2022
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doi:10.1016/j.osnem.2022.100220
Network Analysis of the Information Consumption-Production Dichotomy in Mastodon User Behaviors
Proceedings of the International AAAI Conference on Web and Social Media
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31 May 2022
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doi:10.1609/icwsm.v16i1.19391
A Comparison of Transformer-Based Language Models on NLP Benchmarks
Natural Language Processing and Information Systems
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01 Jan 2022
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doi:10.1007/978-3-031-08473-7_45
When Correlation Clustering Meets Fairness Constraints
Discovery Science
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01 Jan 2022
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doi:10.1007/978-3-031-18840-4_22
2021
Graph convolutional and attention models for entity classification in multilayer networks
Applied Network Science
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08 Nov 2021
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doi:10.1007/s41109-021-00420-4
Unsupervised law article mining based on deep pre-trained language representation models with application to the Italian civil code
Artificial Intelligence and Law
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15 Sep 2021
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doi:10.1007/s10506-021-09301-8
Understanding the growth of the Fediverse through the lens of Mastodon
Applied Network Science
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01 Sep 2021
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doi:10.1007/s41109-021-00392-5
Community Detection in Multiplex Networks
ACM Computing Surveys
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08 May 2021
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doi:10.1145/3444688
Attribute based diversification of seeds for targeted influence maximization
Information Sciences
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01 Feb 2021
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doi:10.1016/J.INS.2020.08.093
Correlation Clustering with Global Weight Bounds
Machine Learning and Knowledge Discovery in Databases. Research Track
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01 Jan 2021
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doi:10.1007/978-3-030-86520-7_31
Credits: Publication icons above displayed were artificially generated by feeding our prompts to Microsoft Bing Image Creator, 2023-2024.