Davide Mottin

89 papers A* 16A 3B 4Journal 43Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
Alpine: Partial Unlabeled Graph Alignment.
KDD (2)
Petros Petsinis, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras
2025 J jnl
An autoencoder for compressing angle-resolved photoemission spectroscopy data.
Mach. Learn. Sci. Technol.
Steinn Ymir Agustsson, Mohammad Ahsanul Haque, Tam T. Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann
2025 — conf
Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language.
NAACL (Findings)
Zhiqiang Zhong, Simon Sataa-Yu Larsen, Haoyu Guo, Tao Tang, Kuangyu Zhou, Davide Mottin
2025 J jnl
Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language.
CoRR
Zhiqiang Zhong, Simon Sataa-Yu Larsen, Haoyu Guo, Tao Tang, Kuangyu Zhou, Davide Mottin
2025 J jnl
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey.
ACM Comput. Surv.
Zhiqiang Zhong, Anastasia Barkova, Davide Mottin
2025 J jnl
Mix & Match: Subgraph Matching for Absolute Coverage.
Proc. VLDB Endow.
Konstantinos Skitsas, Yuya Sasaki, Davide Mottin, Panagiotis Karras
2025 A* conf
Pilos: Scalable Large-Subgraph Matching by Online Spectral Filtering.
ICDE
Konstantinos Skitsas, Davide Mottin, Panagiotis Karras
2025 — conf
SwiftVI: Time-Efficient Planning and Learning with MDPs.
MLSys
Kasper Overgaard Mortensen, Konstantinos Skitsas, Emil Morre Christensen, Mohammad Sadegh Talebi, Andreas Pavlogiannis, Davide Mottin, Panagiotis Karras
2025 B conf
Towards Reliable Conversational Data Analytics.
EDBT
Sihem Amer-Yahia, Jasmina Bogojeska, Roberta Facchinetti, Valeria Franceschi, Aristides Gionis, Katja Hose, Georgia Koutrika, Roger D. Kouyos, Matteo Lissandrini, Silviu Maniu, Katsiaryna Mirylenka, Davide Mottin, Themis Palpanas, Mattia Rigotti, Yannis Velegrakis
2025 A conf
Untapping the Power of Indirect Relationships in Entity Summarization.
WSDM
Atefeh Moradan, Mohammad Sorkhpar, Atsushi Miyauchi, Davide Mottin, Ira Assent
2024 J jnl
An autoencoder for compressing angle-resolved photoemission spectroscopy data.
CoRR
Steinn Ymir Agustsson, Mohammad Ahsanul Haque, Tam T. Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann
2024 J jnl
Autonomous microARPES.
CoRR
Steinn Ymir Agustsson, Alfred J. H. Jones, Davide Curcio, Søren Ulstrup, Jill Miwa, Davide Mottin, Panagiotis Karras, Philip Hofmann
2024 J jnl
Benchmarking Large Language Models for Molecule Prediction Tasks.
CoRR
Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin
2024 — conf
Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?
ECIR (4)
Juan Manuel Rodriguez, Nima Tavassoli, Eliezer Levy, Gil Lederman, Dima Sivov, Matteo Lissandrini, Davide Mottin
2024 — conf
Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding.
ECML/PKDD (7)
Zhiqiang Zhong, Davide Mottin
2024 J jnl
EvolMPNN: Predicting Mutational Effect on Homologous Proteins by Evolution Encoding.
CoRR
Zhiqiang Zhong, Davide Mottin
2024 J jnl
Exploring Graph Structure Comprehension Ability of Multimodal Large Language Models: Case Studies.
CoRR
Zhiqiang Zhong, Davide Mottin
2024 A* conf
FUGAL: Feature-fortified Unrestricted Graph Alignment.
NeurIPS
Aditya Bommakanti, Harshith Reddy Vonteri, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras
2024 — conf
HUNIPU: Efficient Hungarian Algorithm on IPUs.
ICDEW
Cheng Huang, Alexander Mathiasen, Josef Dean, Davide Mottin, Ira Assent
2024 — conf
Harnessing Large Language Models as Post-hoc Correctors.
ACL (Findings)
Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin
2024 J jnl
Harnessing Large Language Models as Post-hoc Correctors.
CoRR
Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin
2024 — conf
ReliK: A Reliability Measure for Knowledge Graph Embeddings.
SEBD
Maximilian K. Egger, Wenyue Ma, Davide Mottin, Panagiotis Karras, Ilaria Bordino, Francesco Gullo, Aris Anagnostopoulos
2024 A* conf
ReliK: A Reliability Measure for Knowledge Graph Embeddings.
WWW
Maximilian K. Egger, Wenyue Ma, Davide Mottin, Panagiotis Karras, Ilaria Bordino, Francesco Gullo, Aris Anagnostopoulos
2024 J jnl
ReliK: A Reliability Measure for Knowledge Graph Embeddings.
CoRR
Maximilian K. Egger, Wenyue Ma, Davide Mottin, Panagiotis Karras, Ilaria Bordino, Francesco Gullo, Aris Anagnostopoulos
2024 J jnl
Wiki Entity Summarization Benchmark.
CoRR
Saeedeh Javadi, Atefeh Moradan, Mohammad Sorkhpar, Klim Zaporojets, Davide Mottin, Ira Assent
2023 A* conf
ActUp: Analyzing and Consolidating tSNE and UMAP.
IJCAI
Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay
2023 J jnl
ActUp: Analyzing and Consolidating tSNE and UMAP.
CoRR
Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay
2023 B conf
Comprehensive Evaluation of Algorithms for Unrestricted Graph Alignment
EDBT
Konstantinos Skitsas, Karol Orlowski, Judith Hermanns, Davide Mottin, Panagiotis Karras
2023 J jnl
GRASP: Scalable Graph Alignment by Spectral Corresponding Functions.
ACM Trans. Knowl. Discov. Data
Judith Hermanns, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Frederiksen Kyster, Simon Nielsen, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras
2023 J jnl
How Faithful are Self-Explainable GNNs?
CoRR
Marc Christiansen, Lea Villadsen, Zhiqiang Zhong, Stefano Teso, Davide Mottin
2023 J jnl
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability.
CoRR
Zhiqiang Zhong, Anastasia Barkova, Davide Mottin
2023 A* conf
Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability.
KDD
Zhiqiang Zhong, Davide Mottin
2023 J jnl
Marigold: Efficient k-means Clustering in High Dimensions.
Proc. VLDB Endow.
Kasper Overgaard Mortensen, Fatemeh Zardbani, Mohammad Ahsanul Haque, Steinn Ymir Agustsson, Davide Mottin, Philip Hofmann, Panagiotis Karras
2023 J jnl
On the Robustness of Post-hoc GNN Explainers to Label Noise.
CoRR
Zhiqiang Zhong, Yangqianzi Jiang, Davide Mottin
2023 — conf
Spectral Subgraph Localization.
LoG
Ama Bembua Bainson, Judith Hermanns, Petros Petsinis, Niklas Aavad, Casper Dam Larsen, Tiarnan Swayne, Amit Boyarski, Davide Mottin, Alex M. Bronstein, Panagiotis Karras
2023 J jnl
UCoDe: unified community detection with graph convolutional networks.
Mach. Learn.
Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent
2022 J jnl
GiDR-DUN; Gradient Dimensionality Reduction - Differences and Unification.
CoRR
Andrew Draganov, Tyrus Berry, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Ira Assent, Davide Mottin
2022 A conf
Knowledge Graph Exploration Systems: are we lost?
CIDR
Matteo Lissandrini, Davide Mottin, Katja Hose, Torben Bach Pedersen
2022 J jnl
Spectral Graph Complexity.
CoRR
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2021 J jnl
Bandits for Learning to Explain from Explanations.
CoRR
Freya Behrens, Stefano Teso, Davide Mottin
2021 A conf
Boosting Graph Alignment Algorithms.
CIKM
Alexander Frederiksen Kyster, Simon Daugaard Nielsen, Judith Hermanns, Davide Mottin, Panagiotis Karras
2021 J jnl
FREDE: Anytime Graph Embeddings.
Proc. VLDB Endow.
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
2021 A* conf
Few-Shot Knowledge Validation using Rules.
WWW
Michael Loster, Davide Mottin, Paolo Papotti, Jan Ehmüller, Benjamin Feldmann, Felix Naumann
2021 — conf
GRASP: Graph Alignment Through Spectral Signatures.
APWeb/WAIM (1)
Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras
2021 J jnl
GRASP: Graph Alignment through Spectral Signatures.
CoRR
Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alex M. Bronstein, Davide Mottin, Panagiotis Karras
2021 J jnl
Mining patterns in graphs with multiple weights.
Distributed Parallel Databases
Giulia Preti, Matteo Lissandrini, Davide Mottin, Yannis Velegrakis
2021 — ed.
Proceedings of the 2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores (SEA-Data 2021) co-located with 47th International Conference on Very Large Data Bases (VLDB 2021), Copenhagen, Denmark, August 20, 2021.
SEA-Data@VLDB
Davide Mottin, Matteo Lissandrini, Senjuti Basu Roy, Yannis Velegrakis
2021 — conf
SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs.
SIGMOD Conference
Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini, Davide Mottin
2021 J jnl
SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs.
CoRR
Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini, Davide Mottin
2021 J jnl
UCoDe: Unified Community Detection with Graph Convolutional Networks.
CoRR
Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent
2020 J jnl
FREDE: Linear-Space Anytime Graph Embeddings.
CoRR
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
2020 A* conf
Graph-Query Suggestions for Knowledge Graph Exploration.
WWW
Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis
2020 J jnl
Knowledge graph exploration: where are we and where are we going?
SIGWEB Newsl.
Matteo Lissandrini, Torben Bach Pedersen, Katja Hose, Davide Mottin
2020 — ed.
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, Copenhagen, Denmark, March 30, 2020
EDBT/ICDT Workshops
Alexandra Poulovassilis, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf, Nikos Pelekis, Chiara Renso, Yannis Theodoridis, Karine Zeitouni, Tania Cerquitelli, Silvia Chiusano, Genoveva Vargas-Solar, Behrooz Omidvar-Tehrani, Katharina Morik, Jean-Michel Renders, Donatella Firmani, Letizia Tanca, Davide Mottin, Matteo Lissandrini, Yannis Velegrakis
2020 A* conf
The Shape of Data: Intrinsic Distance for Data Distributions.
ICLR
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2020 A* conf
What if Neural Networks had SVDs?
NeurIPS
Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin
2020 J jnl
What if Neural Networks had SVDs?
CoRR
Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin
2019 A* conf
Example-based Search: a New Frontier for Exploratory Search.
SIGIR
Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis
2019 — conf
Exploring the Data Wilderness through Examples.
SIGMOD Conference
Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas
2019 A* conf
Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging.
KDD
Nikita Klyuchnikov, Davide Mottin, Georgia Koutrika, Emmanuel Müller, Panagiotis Karras
2019 — ch.
Graph Exploration and Search.
Encyclopedia of Big Data Technologies
Davide Mottin, Yinghui Wu
2019 J jnl
Intrinsic Multi-scale Evaluation of Generative Models.
CoRR
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2019 A* conf
Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket.
ICDM
Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, Danai Koutra
2019 — conf
Spectral Graph Complexity.
WWW (Companion Volume)
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018 B conf
Beyond Frequencies: Graph Pattern Mining in Multi-weighted Graphs.
EDBT
Giulia Preti, Matteo Lissandrini, Davide Mottin, Yannis Velegrakis
2018 — book
Data Exploration Using Example-Based Methods
Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis
2018 — conf
MetaExp: Interactive Explanation and Exploration of Large Knowledge Graphs.
WWW (Companion Volume)
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
2018 A* conf
Multi-Example Search in Rich Information Graphs.
ICDE
Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis
2018 A* conf
NetLSD: Hearing the Shape of a Graph.
KDD
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018 J jnl
NetLSD: Hearing the Shape of a Graph.
CoRR
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018 B conf
Notable Characteristics Search through Knowledge Graphs.
EDBT
Davide Mottin, Bastian Grasnick, Axel Kroschk, Patrick Siegler, Emmanuel Müller
2018 J jnl
Notable Characteristics Search through Knowledge Graphs.
CoRR
Davide Mottin, Bastian Grasnick, Axel Kroschk, Patrick Siegler, Emmanuel Müller
2018 J jnl
SGR: Self-Supervised Spectral Graph Representation Learning.
CoRR
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018 A* conf
VERSE: Versatile Graph Embeddings from Similarity Measures.
WWW
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller
2018 J jnl
VERSE: Versatile Graph Embeddings from Similarity Measures.
CoRR
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller
2018 J jnl
X2Q: Your Personal Example-based Graph Explorer.
Proc. VLDB Endow.
Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis
2017 — conf
Graph Exploration: From Users to Large Graphs.
SIGMOD Conference
Davide Mottin, Emmanuel Müller
2017 J jnl
New Trends on Exploratory Methods for Data Analytics.
Proc. VLDB Endow.
Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas
2016 J jnl
A holistic and principled approach for the empty-answer problem.
VLDB J.
Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis
2016 J jnl
Exemplar queries: a new way of searching.
VLDB J.
Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas
2016 — ed.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", Potsdam, Germany, September 12-14, 2016.
LWDA
Ralf Krestel, Davide Mottin, Emmanuel Müller
2015 — —
Advanced Query Paradigms for the Novice User.
Davide Mottin
2015 A* conf
Graph Query Reformulation with Diversity.
KDD
Davide Mottin, Francesco Bonchi, Francesco Gullo
2014 J jnl
Exemplar Queries: Give me an Example of What You Need.
Proc. VLDB Endow.
Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas
2014 — conf
IQR: an interactive query relaxation system for the empty-answer problem.
SIGMOD Conference
Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis
2014 — conf
Searching with XQ: the exemplar query search engine.
SIGMOD Conference
Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas
2014 J jnl
Unleashing the Power of Information Graphs.
SIGMOD Rec.
Matteo Lissandrini, Davide Mottin, Themis Palpanas, Dimitra Papadimitriou, Yannis Velegrakis
2013 J jnl
A Probabilistic Optimization Framework for the Empty-Answer Problem.
Proc. VLDB Endow.
Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis
2013 J jnl
Entity ranking using click-log information.
Intell. Data Anal.
Davide Mottin, Themis Palpanas, Yannis Velegrakis