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Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis. Data Exploration using Example-based Methods. Synthesis Lectures on Data Management.
List of publications: [DBLP] - [Google Scholar] - [ACM]
Books
Book Chapters
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Danai Koutra, Davide Mottin, Jing Zhu. Fact Summarization for Personalized Knowledge Graphs. Personal Knowledge Graphs (PKGs): Methodology, tools and applications.
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Davide Mottin, Yinghui Wu. Graph exploration and search. Sakr Sherif and Albert Zomay (eds), Encyclopedia of Big Data Technologies. Springer, Cham.
Tutorials
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Matteo Lissandrini, Davide Mottin, Yannis Velegrakis, Themis Palpanas. Example-driven Search: a New Frontier for Exploratory Search. SIGIR 2019.
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Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas. Exploring the Data Wilderness through Examples. SIGMOD 2019.
3
Davide Mottin, Emmanuel Müller. Graph Exploration: Let me Show what is Relevant in your Graph. KDD 2018.
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Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas. New trends on Exploratory Methods for Data Analytics.. VLDB 2017.
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Davide Mottin, Emmanuel Müller. Graph Exploration: From the User to Large Graphs. SIGMOD 2017.
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Davide Mottin, Anja Jentzsch, Emmanuel Müller. Graph Exploration: Taking the User into the Loop. CIKM 2016.
Publications
1
Atefeh Moradan, Andrew Alexander Draganov, Davide Mottin, Ira Assent. UCoDe: Unified Community Detection with Graph Convolutional Networks. Machine Learning Journal (presented at ECML/PKDD 2023).
2
Kasper Overgaard Mortensen, Fatemeh Zardbani, Mohammad Ahsanul Haque, Steinn Ymir Agustsson, Davide Mottin, Philip Hofmann, Panagiotis Karras. Marigold: Efficient k-means Clustering in High Dimensions. VLDB 2023.
3
Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay. ActUp: Analyzing and Consolidating tSNE and UMAP. IJCAI 2023.
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Konstantinos Skitsas, Karol Orlowski, Judith Hermanns, Davide Mottin, Panagiotis Karras. Comprehensive Evaluation of Algorithms for Unrestricted Graph Alignment. EDBT 2023.
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Judith Hermanns, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Frederiksen Kyster, Simon Daugaard Nielsen, Alex Bronstein, Davide Mottin, Panagiotis Karras. GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. TKDD 2022.
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Malik Sebastian Stær Knudsen, Laurits Almskou Brodal, Peter Kristoffer Peczalski, Atefeh Moradan, Davide Mottin, Ira Assent. GraB: Graph Benchmark for Heterogeneous Graph Clustering. LOG 2022.
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Matteo Lissandrini, Davide Mottin, Katja Hose and Torben Bach Pedersen. Knowledge Graph Exploration Systems: are we lost?. CIDR 2022.
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Alexander Frederiksen Kyster, Simon Daugaard Nielsen, Judith Hermanns, Davide Mottin, Panagiotis Karras. Boosting Graph Alignment Algorithms. CIKM 2021.
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Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alex Bronstein, Davide Mottin, Panagiotis Karras. GRASP: Graph Alignment through Spectral Signatures. APWeb-WAIM 2021.
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Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini, Davide Mottin. SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs. SIGMOD 2021.
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Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan Oseledets, Emmanuel Mueller. FREDE: Anytime Graph Embeddings. VLDB 2021.
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Michael Loster, Davide Mottin, Paolo Papotti, Jan Ehmueller, Benjamin Feldmann, Felix Naumann. Few-Shot Knowledge Validations using Rules. TheWebConf (WWW) 2021.
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Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin. What if Neural Networks had SVDs?. NeurIPS 2020.
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Matteo Lissandrini, Torben Bach Pedersen, Katja Hose and Davide Mottin. Knowledge graph exploration: where are we and where are we going?. SIGWEB 2020.
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Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alex Bronstein, Ivan Oseledets, Emmanuel Mueller. The Shape of Data: Intrinsic Distance for Data Distributions. ICLR 2020.
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Matteo Lissandrini, Davide Mottin, Themis Palpanas and Yannis Velegrakis. Graph-Query Suggestions for Knowledge Graph Exploration. TheWebConf (WWW) 2020.
17
Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, Danai Koutra. Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. ICDM 2019.
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Nikita Klyuchnikov, Davide Mottin, Georgia Koutrika, Emmanuel Müller, Panagiotis Karras. Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging. KDD 2019.
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Giulia Preti, Matteo Lissandrini, Davide Mottin, Yannis Velegrakis. Mining Patterns in Graphs with Multiple Weights. DAPD Journal.
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Matteo Lissandrini, Davide Mottin, Yannis Velegrakis, Themis Palpanas. X2Q: Your Personal Example-based Graph Explorer. PVLDB 2018.
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Anton Tsistulin, Davide Mottin, Panagiotis Karras, Alex Bronstein, Emmanuel Müller. NetLSD: Hearing the Shape of a Graph. KDD 2018.
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Anton Tsistulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller. VERSE: Versatile Graph Embeddings from Similarity Measures. The WebConf 2018.
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Freya Behrens, Sebastian Bischoff, Pius Ladenburger, Julius Rückin, Laurenz Seidel, Fabian Stolp, Michael Vaichenker, Adrian Ziegler, Davide Mottin, Fatemeh Aghaei, Emmanuel Müller, Martin Preusse, Nikola Müller.Michael Hunger. MetaExp: Interactive Exploration and Explanation of Large Knowledge Graphs. The WebConf 2018.
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Matteo Lissandrini, Davide Mottin, Yannis Velegrakis, Themis Palpanas. Multi-Example Search in Rich Information Graphs. ICDE 2018.
25
Davide Mottin, Bastian Grasnick , Axel Kroschk , Patrick Siegler , Emmanuel Müller. Notable Characteristics Search through Knowledge Graphs. EDBT 2018.
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Giulia Preti, Matteo Lissandrini, Davide Mottin, Yannis Velegrakis. Beyond Frequencies: Graph Pattern Mining in Multi-weighted Graphs.. EDBT 2018.
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Davide Mottin, Matteo Lissandrini, Themis Palpanas, Yannis Velegrakis. Exemplar Queries: A New Way of Searching. VLDB Journal, 2016, 25(6) .
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Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis. A Holistic and Principle Approach for the Empty-Answer Problem. VLDB Journal, 2016, 25(4).
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Davide Mottin, Francesco Bonchi, Francesco Gullo. Graph Query Reformulation With Diversity. KDD 2015.
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Matteo Lissandrini, Davide Mottin, Dimitra Papadimitriou, Themis Palpanas, Yannis Velegrakis. Unleashing the Power of Information Graphs. ACM SIGMOD Record 43(4), 2014.
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Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis. A Probabilistic Optimization Framework for the Empty-Answer Problem. PVLDB 2013, 6(14).
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Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas. Exemplar Queries: Give me an Example of What you Need. PVLDB 2014, 7(5).
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Davide Mottin, Matteo Lissandrini, Themis Palpanas, Yannis Velegrakis. Searching with XQ: the eXemplar Query Search Engine. SIGMOD 2014.
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Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis. IQR: An Interactive Query Relaxation System for the Empty-Answer Problem. SIGMOD 2014.
35
Davide Mottin, Themis Palpanas, Yannis Velegrakis. Entity ranking using click-log information. Intelligent Data Analysis Journal, 17(5), 2013..
Other publications
1
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan Oseledets, Lior Kamma, Emmanuel Müller . Towards Incremental Construction of Graph Embeddings . DLG workshop @ KDD 2019.
2
Lukas Faber, Tara Safavi, Davide Mottin, Danai Koutra, Emmanuel Müller. Adaptive Personalized Knowledge Graph Summarization. MLG Workshop @ KDD 2018.
3
Anton Tsistulin, Davide Mottin, Panagiotis Karras, Alex Bronstein, Emmanuel Müller. SGR: Self-Supervised Spectral Graph Representation Learning. DLDay @ KDD 2018.
4
Zekarias Kefato, Matteo Lissandrini, Davide Mottin, Themis Palpanas. Keyword Query to Graph Query. DISI Tech-Rep.
