Davide Mottin

According to our database, Davide Mottin authored at least 63 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Exploring Graph Structure Comprehension Ability of Multimodal Large Language Models: Case Studies.

Zhiqiang Zhong, Davide Mottin

CoRR, 2024

An autoencoder for compressing angle-resolved photoemission spectroscopy data.

Steinn Ymir Agustsson, Mohammad Ahsanul Haque, Tam T. Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann

CoRR, 2024

Wiki Entity Summarization Benchmark.

Saeedeh Javadi, Atefeh Moradan, Mohammad Sorkhpar, Klim Zaporojets, Davide Mottin, Ira Assent

CoRR, 2024

Autonomous microARPES.

Steinn Ymir Agustsson, Alfred J. H. Jones, Davide Curcio, Søren Ulstrup, Jill Miwa, Davide Mottin, Panagiotis Karras, Philip Hofmann

CoRR, 2024

Benchmarking Large Language Models for Molecule Prediction Tasks.

Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin

CoRR, 2024

EvolMPNN: Predicting Mutational Effect on Homologous Proteins by Evolution Encoding.

Zhiqiang Zhong, Davide Mottin

CoRR, 2024

ReliK: A Reliability Measure for Knowledge Graph Embeddings.

Maximilian K. Egger, Wenyue Ma, Davide Mottin, Panagiotis Karras, Ilaria Bordino, Francesco Gullo, Aris Anagnostopoulos

Proceedings of the ACM on Web Conference 2024, 2024

Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding.

Zhiqiang Zhong, Davide Mottin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

HUNIPU: Efficient Hungarian Algorithm on IPUs.

Cheng Huang, Alexander Mathiasen, Josef Dean, Davide Mottin, Ira Assent

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 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

Proceedings of the Advances in Information Retrieval, 2024

Harnessing Large Language Models as Post-hoc Correctors.

Zhiqiang Zhong, Kuangyu Zhou, Davide Mottin

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

UCoDe: unified community detection with graph convolutional networks.

Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent

Mach. Learn., December, 2023

GRASP: Scalable Graph Alignment by Spectral Corresponding Functions.

Judith Hermanns, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Frederiksen Kyster, Simon Nielsen, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras

ACM Trans. Knowl. Discov. Data, May, 2023

Marigold: Efficient k-means Clustering in High Dimensions.

Kasper Overgaard Mortensen, Fatemeh Zardbani, Mohammad Ahsanul Haque, Steinn Ymir Agustsson, Davide Mottin, Philip Hofmann, Panagiotis Karras

Proc. VLDB Endow., 2023

On the Robustness of Post-hoc GNN Explainers to Label Noise.

Zhiqiang Zhong, Yangqianzi Jiang, Davide Mottin

CoRR, 2023

How Faithful are Self-Explainable GNNs?

Marc Christiansen, Lea Villadsen, Zhiqiang Zhong, Stefano Teso, Davide Mottin

CoRR, 2023

Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability.

Zhiqiang Zhong, Anastasia Barkova, Davide Mottin

CoRR, 2023

Spectral Subgraph Localization.

Ama Bembua Bainson, Judith Hermanns, Petros Petsinis, Niklas Aavad, Casper Dam Larsen, Tiarnan Swayne, Amit Boyarski, Davide Mottin, Alex M. Bronstein, Panagiotis Karras

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability.

Zhiqiang Zhong, Davide Mottin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ActUp: Analyzing and Consolidating tSNE and UMAP.

Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Comprehensive Evaluation of Algorithms for Unrestricted Graph Alignment

Konstantinos Skitsas, Karol Orlowski, Judith Hermanns, Davide Mottin, Panagiotis Karras

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

GiDR-DUN; Gradient Dimensionality Reduction - Differences and Unification.

Andrew Draganov, Tyrus Berry, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Ira Assent, Davide Mottin

CoRR, 2022

Knowledge Graph Exploration Systems: are we lost?

Matteo Lissandrini, Davide Mottin, Katja Hose, Torben Bach Pedersen

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

FREDE: Anytime Graph Embeddings.

Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller

Proc. VLDB Endow., 2021

Mining patterns in graphs with multiple weights.

Giulia Preti, Matteo Lissandrini, Davide Mottin, Yannis Velegrakis

Distributed Parallel Databases, 2021

Bandits for Learning to Explain from Explanations.

Freya Behrens, Stefano Teso, Davide Mottin

CoRR, 2021

Few-Shot Knowledge Validation using Rules.

Michael Loster, Davide Mottin, Paolo Papotti, Jan Ehmüller, Benjamin Feldmann, Felix Naumann

Proceedings of the WWW '21: The Web Conference 2021, 2021

SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs.

Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini, Davide Mottin

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Boosting Graph Alignment Algorithms.

Alexander Frederiksen Kyster, Simon Daugaard Nielsen, Judith Hermanns, Davide Mottin, Panagiotis Karras

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

GRASP: Graph Alignment Through Spectral Signatures.

Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020

Knowledge graph exploration: where are we and where are we going?

Matteo Lissandrini, Torben Bach Pedersen, Katja Hose, Davide Mottin

SIGWEB Newsl., 2020

FREDE: Linear-Space Anytime Graph Embeddings.

Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller

CoRR, 2020

Graph-Query Suggestions for Knowledge Graph Exploration.

Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

What if Neural Networks had SVDs?

Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Shape of Data: Intrinsic Distance for Data Distributions.

Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Graph Exploration and Search.

Davide Mottin, Yinghui Wu

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Intrinsic Multi-scale Evaluation of Generative Models.

Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller

CoRR, 2019

Spectral Graph Complexity.

Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Exploring the Data Wilderness through Examples.

Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas

Proceedings of the 2019 International Conference on Management of Data, 2019

Example-based Search: a New Frontier for Exploratory Search.

Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging.

Nikita Klyuchnikov, Davide Mottin, Georgia Koutrika, Emmanuel Müller, Panagiotis Karras

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket.

Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, Danai Koutra

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Data Exploration Using Example-Based Methods

Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis

Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01866-4, 2018

X2Q: Your Personal Example-based Graph Explorer.

Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis

Proc. VLDB Endow., 2018

SGR: Self-Supervised Spectral Graph Representation Learning.

Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller

CoRR, 2018

VERSE: Versatile Graph Embeddings from Similarity Measures.

Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

MetaExp: Interactive Explanation and Exploration of Large Knowledge Graphs.

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

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

NetLSD: Hearing the Shape of a Graph.

Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-Example Search in Rich Information Graphs.

Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Beyond Frequencies: Graph Pattern Mining in Multi-weighted Graphs.

Giulia Preti, Matteo Lissandrini, Davide Mottin, Yannis Velegrakis

Proceedings of the 21st International Conference on Extending Database Technology, 2018

Notable Characteristics Search through Knowledge Graphs.

Davide Mottin, Bastian Grasnick, Axel Kroschk, Patrick Siegler, Emmanuel Müller

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

New Trends on Exploratory Methods for Data Analytics.

Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas

Proc. VLDB Endow., 2017

Graph Exploration: From Users to Large Graphs.

Davide Mottin, Emmanuel Müller

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

A holistic and principled approach for the empty-answer problem.

Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis

VLDB J., 2016

Exemplar queries: a new way of searching.

Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas

VLDB J., 2016

2015

Advanced Query Paradigms for the Novice User.

Davide Mottin

PhD thesis, 2015

Graph Query Reformulation with Diversity.

Davide Mottin, Francesco Bonchi, Francesco Gullo

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Unleashing the Power of Information Graphs.

Matteo Lissandrini, Davide Mottin, Themis Palpanas, Dimitra Papadimitriou, Yannis Velegrakis

SIGMOD Rec., 2014

Exemplar Queries: Give me an Example of What You Need.

Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas

Proc. VLDB Endow., 2014

IQR: an interactive query relaxation system for the empty-answer problem.

Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis

Proceedings of the International Conference on Management of Data, 2014

Searching with XQ: the exemplar query search engine.

Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas

Proceedings of the International Conference on Management of Data, 2014

2013

A Probabilistic Optimization Framework for the Empty-Answer Problem.

Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis

Proc. VLDB Endow., 2013

Entity ranking using click-log information.

Davide Mottin, Themis Palpanas, Yannis Velegrakis

Intell. Data Anal., 2013