Searching with XQ: the exemplar query search engine. - Davide Mottin; Matteo Lissandrini; Yannis Velegrakis; Themis Palpanas (SIGMOD Conference, 2014)

Exemplar Queries: Give me an Example of What You Need. - Davide Mottin; Matteo Lissandrini; Yannis Velegrakis; Themis Palpanas (Proc. VLDB Endow., 2014)

Unleashing the Power of Information Graphs. - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Dimitra Papadimitriou; Yannis Velegrakis (SIGMOD Rec., 2014)

Exemplar queries: a new way of searching. - Davide Mottin; Matteo Lissandrini; Yannis Velegrakis; Themis Palpanas (VLDB J., 2016)

New Trends on Exploratory Methods for Data Analytics. - Davide Mottin; Matteo Lissandrini; Yannis Velegrakis; Themis Palpanas (Proc. VLDB Endow., 2017)

Beyond Frequencies: Graph Pattern Mining in Multi-weighted Graphs. - Giulia Preti; Matteo Lissandrini; Davide Mottin; Yannis Velegrakis (EDBT, 2018)

Multi-Example Search in Rich Information Graphs. - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Yannis Velegrakis (ICDE, 2018)

Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation. - Matteo Lissandrini; Martin Brugnara; Yannis Velegrakis (Proc. VLDB Endow., 2018)

X2Q: Your Personal Example-based Graph Explorer. - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Yannis Velegrakis (Proc. VLDB Endow., 2018)

Enabling access to and exploration of information graphs. - Matteo Lissandrini (2018)

Data Exploration Using Example-Based Methods - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Yannis Velegrakis (Morgan & Claypool Publishers, 2018)

An Open Source Dataset and Ontology for Product Footprinting. - Agneta Ghose; Katja Hose; Matteo Lissandrini; Bo Pedersen Weidema (ESWC (Satellite Events), 2019)

Example-based Search: a New Frontier for Exploratory Search. - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Yannis Velegrakis (SIGIR, 2019)

Exploring the Data Wilderness through Examples. - Davide Mottin; Matteo Lissandrini; Yannis Velegrakis; Themis Palpanas (SIGMOD Conference, 2019)

MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings. - Anders H. Brams; Anders Langballe Jakobsen; Theis E. Jendal; Matteo Lissandrini; Peter Dolog; Katja Hose (CIKM, 2020)

Personalized Page Rank on Knowledge Graphs: Particle Filtering is all you need! - Denis Gallo; Matteo Lissandrini; Yannis Velegrakis (EDBT, 2020)

Transparent Integration and Sharing of Life Cycle Sustainability Data with Provenance. - Emil Riis Hansen; Matteo Lissandrini; Agneta Ghose; Søren Løkke; Christian Thomsen 001; Katja Hose (ISWC (2), 2020)

Graph-Query Suggestions for Knowledge Graph Exploration. - Matteo Lissandrini; Davide Mottin; Themis Palpanas; Yannis Velegrakis (WWW, 2020)

A Foundation for Spatio-Textual-Temporal Cube Analytics (Extended Version). - Mohsin Iqbal; Matteo Lissandrini; Torben Bach Pedersen (CoRR, 2020)

Knowledge graph exploration: where are we and where are we going? - Matteo Lissandrini; Torben Bach Pedersen; Katja Hose; Davide Mottin (SIGWEB Newsl., 2020)

Optimizing SPARQL Queries using Shape Statistics. - Kashif Rabbani; Matteo Lissandrini; Katja Hose (EDBT, 2021)

Estimating the extent of the effects of Data Quality through Observations. - Daniele Foroni; Matteo Lissandrini; Yannis Velegrakis (ICDE, 2021)

The F4U System for Understanding the Effects of Data Quality. - Daniele Foroni; Matteo Lissandrini; Yannis Velegrakis (ICDE, 2021)

LSQB: a large-scale subgraph query benchmark. - Amine Mhedhbi; Matteo Lissandrini; Laurens Kuiper; Jack Waudby; Gábor Szárnyas (GRADES-NDA@SIGMOD, 2021)

SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs. - Georgia Troullinou; Haridimos Kondylakis; Matteo Lissandrini; Davide Mottin (SIGMOD Conference, 2021)

Mining patterns in graphs with multiple weights. - Giulia Preti; Matteo Lissandrini; Davide Mottin; Yannis Velegrakis (Distributed Parallel Databases, 2021)

Data citation and the citation graph. - Peter Buneman; Dennis Dosso; Matteo Lissandrini; Gianmaria Silvello (Quant. Sci. Stud., 2021)

Knowledge Graph Exploration Systems: are we lost? - Matteo Lissandrini; Davide Mottin; Katja Hose; Torben Bach Pedersen (CIDR, 2022)

Expanding the Citation Graph for Data Citations. - Peter Buneman; Dennis Dosso; Matteo Lissandrini; Gianmaria Silvello (SEBD, 2022)

Understanding RDF Data Representations in Triplestores. - Matteo Lissandrini; Tomer Sagi; Torben Bach Pedersen; Katja Hose (SEBD, 2022)

SHACL and ShEx in the Wild: A Community Survey on Validating Shapes Generation and Adoption. - Kashif Rabbani; Matteo Lissandrini; Katja Hose (WWW (Companion Volume), 2022)

Simple and Powerful Architecture for Inductive Recommendation Using Knowledge Graph Convolutions. - Theis E. Jendal; Matteo Lissandrini; Peter Dolog; Katja Hose (CoRR, 2022)

A foundation for spatio-textual-temporal cube analytics. - Mohsin Iqbal; Matteo Lissandrini; Torben Bach Pedersen (Inf. Syst., 2022)

A design space for RDF data representations. - Tomer Sagi; Matteo Lissandrini; Torben Bach Pedersen; Katja Hose (VLDB J., 2022)

Automatically Extracted SHACL Shapes for DBpedia, YAGO-4, and LUBM & Associated Coverage Statistics. - Kashif Rabbani; Matteo Lissandrini; Katja Hose (Zenodo, 2022)

Automatically Extracted SHACL Shapes for WikiData, DBpedia, YAGO-4, and LUBM & Associated Coverage Statistics. - Kashif Rabbani; Matteo Lissandrini; Katja Hose (Zenodo, 2022)

DBpedia RDF2Vec Graph Embeddings. - Martin Pekár Christensen; Matteo Lissandrini; Katja Hose (Zenodo, 2022)

DBpedia RDF2Vec Graph Embeddings. - Martin Pekár Christensen; Matteo Lissandrini; Katja Hose (Zenodo, 2022)

DBpedia RDF2Vec Graph Embeddings. - Martin Pekár Christensen; Matteo Lissandrini; Katja Hose (Zenodo, 2022)

Example-Driven Exploratory Analytics over Knowledge Graphs. - Matteo Lissandrini; Katja Hose; Torben Bach Pedersen (EDBT, 2023)

GInRec: A Gated Architecture for Inductive Recommendation using Knowledge Graphs. - Theis E. Jendal; Matteo Lissandrini; Peter Dolog; Katja Hose (KaRS@RecSys, 2023)

SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes. - Kashif Rabbani; Matteo Lissandrini; Katja Hose (SIGMOD Conference Companion, 2023)

Extraction of Validating Shapes from very large Knowledge Graphs. - Kashif Rabbani; Matteo Lissandrini; Katja Hose (Proc. VLDB Endow., 2023)

Knowledge Graph Embeddings: Open Challenges and Opportunities. - Russa Biswas; Lucie-Aimée Kaffee; Michael Cochez; Stefania Dumbrava; Theis E. Jendal; Matteo Lissandrini; Vanessa López; Eneldo Loza Mencía; Heiko Paulheim; Harald Sack; Edlira Vakaj; Gerard de Melo (TGDK, 2023)

Large Language Models and Knowledge Graphs: Opportunities and Challenges. - Jeff Z. Pan; Simon Razniewski; Jan-Christoph Kalo; Sneha Singhania; Jiaoyan Chen 001; Stefan Dietze; Hajira Jabeen; Janna Omeliyanenko; Wen Zhang 015; Matteo Lissandrini; Russa Biswas; Gerard de Melo; et al. (TGDK, 2023)

How Does Knowledge Evolve in Open Knowledge Graphs? - Axel Polleres; Romana Pernisch; Angela Bonifati; Daniele Dell'Aglio; Daniil Dobriy; Stefania Dumbrava; Lorena Etcheverry; Nicolas Ferranti; Katja Hose; Ernesto Jiménez-Ruiz; Matteo Lissandrini; Ansgar Scherp; et al. (TGDK, 2023)

Semantic Table Search Dataset. - Aristotelis Leventidis; Martin Pekár Christensen; Matteo Lissandrini; Laura Di Rocco; Renée J. Miller; Katja Hose (Zenodo, 2023)

Semantic Table Search Dataset. - Aristotelis Leventidis; Matteo Lissandrini; Laura Di Rocco; Martin Pekár Christensen; Renée J. Miller; Katja Hose (Zenodo, 2023)

Automatically Extracted SHACL Shapes for WikiData, DBpedia, YAGO-4, and LUBM & Associated Coverage Statistics. - Kashif Rabbani; Matteo Lissandrini; Katja Hose (Zenodo, 2023)

Hypergraphs with Attention on Reviews for Explainable Recommendation. - Theis E. Jendal; Trung-Hoang Le; Hady W. Lauw; Matteo Lissandrini; Peter Dolog; Katja Hose (ECIR (1), 2024)

Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query? - Juan Manuel Rodriguez; Nima Tavassoli; Eliezer Levy; Gil Lederman; Dima Sivov; Matteo Lissandrini; Davide Mottin (ECIR (4), 2024)

Reproducibility and Analysis of Scientific Dataset Recommendation Methods. - Ornella Irrera; Matteo Lissandrini; Daniele Dell'Aglio; Gianmaria Silvello (RecSys, 2024)

Mining Validating Shape for Large Knowledge Graphs via Dynamic Reservoir Sampling. - Matteo Lissandrini; Kashif Rabbani; Katja Hose (SEBD, 2024)

A Study on Efficient Indexing for Table Search in Data Lakes. - Ibraheem Taha; Matteo Lissandrini; Alkis Simitsis; Yannis E. Ioannidis (ICSC, 2024)

A Large Scale Test Corpus for Semantic Table Search. - Aristotelis Leventidis; Martin Pekár Christensen; Matteo Lissandrini; Laura Di Rocco; Katja Hose; Renée J. Miller (SIGIR, 2024)

Transforming RDF Graphs to Property Graphs using Standardized Schemas. - Kashif Rabbani; Matteo Lissandrini; Angela Bonifati; Katja Hose (Proc. ACM Manag. Data, 2024)

Towards Reliable Conversational Data Analytics. - Sihem Amer-Yahia; Jasmina Bogojeska; Roberta Facchinetti; Valeria Franceschi; Aristides Gionis; Katja Hose; Georgia Koutrika; Roger Kouyos; Matteo Lissandrini; Silviu Maniu; Katsiaryna Mirylenka; Davide Mottin; et al. (EDBT, 2025)

Fantastic Tables and Where to Find Them: Table Search in Semantic Data Lakes. - Martin Pekár Christensen; Aristotelis Leventidis; Matteo Lissandrini; Laura Di Rocco; Renée J. Miller; Katja Hose (EDBT, 2025)

Comparative Analysis of Indexing Techniques for Table Search in Data Lakes. - Ibraheem Taha; Matteo Lissandrini; Alkis Simitsis; Yannis E. Ioannidis (Int. J. Semantic Comput., 2025)

The ESW of Wikidata: Exploratory search workflows on Knowledge Graphs. - Matteo Lissandrini; Gianmarco Prando; Gianmaria Silvello (J. Web Semant., 2025)

PlanRGCN: Predicting SPARQL Query Performance. - Abiram Mohanaraj; Matteo Lissandrini; Katja Hose (Proc. VLDB Endow., 2025)

The Limits of Graph Samplers for Training Inductive Recommender Systems. - Theis E. Jendal; Matteo Lissandrini; Peter Dolog; Katja Hose (Proc. VLDB Endow., 2025)

Can We Measure the Impact of a Database? - Peter Buneman; Dennis Dosso; Matteo Lissandrini; Gianmaria Silvello; He Sun 001 (Commun. ACM, 2025)

The Limits of Graph Samplers for Training Inductive Recommender Systems: Extended results. - Theis E. Jendal; Matteo Lissandrini; Peter Dolog; Katja Hose (CoRR, 2025)

Table Overlap Estimation through Graph Embeddings. - Francesco Pugnaloni; Luca Zecchini; Matteo Paganelli; Matteo Lissandrini; Felix Naumann; Giovanni Simonini (Proc. ACM Manag. Data, 2025)

A Review of Privacy Metrics for Privacy-Preserving Synthetic Data Generation. - Frederik M. Trudslev; Matteo Lissandrini; Juan Manuel Rodriguez; Martin Bøgsted; Daniele Dell'Aglio (CoRR, 2025)