Davide Mottin

Davide Mottin

Aarhus Universitet

H-index: 18

Europe-Denmark

About Davide Mottin

Davide Mottin, With an exceptional h-index of 18 and a recent h-index of 15 (since 2020), a distinguished researcher at Aarhus Universitet, specializes in the field of graph mining, database usability, machine learning, data mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Harnessing Large Language Models as Post-hoc Correctors

Autonomous microARPES

Spectral Subgraph Localization

ReliK: A Reliability Measure for Knowledge Graph Embeddings

Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?

Benchmarking Large Language Models for Molecule Prediction Tasks

EvolMPNN: Predicting Mutational Effect on Homologous Proteins by Evolution Encoding

How Faithful are Self-Explainable GNNs?

Davide Mottin Information

University

Position

Assistant Professor Department of Computer Science

Citations(all)

1286

Citations(since 2020)

1028

Cited By

622

hIndex(all)

18

hIndex(since 2020)

15

i10Index(all)

27

i10Index(since 2020)

24

Email

University Profile Page

Aarhus Universitet

Google Scholar

View Google Scholar Profile

Davide Mottin Skills & Research Interests

graph mining

database usability

machine learning

data mining

Top articles of Davide Mottin

Title

Journal

Author(s)

Publication Date

Harnessing Large Language Models as Post-hoc Correctors

arXiv preprint arXiv:2402.13414

Zhiqiang Zhong

Kuangyu Zhou

Davide Mottin

2024/2/20

Autonomous microARPES

arXiv preprint arXiv:2403.13815

Steinn Ymir Agustsson

Alfred JH Jones

Davide Curcio

Søren Ulstrup

Jill Miwa

...

2024/2/16

Spectral Subgraph Localization

Ama Bembua Bainson

Judith Hermanns

Petros Petsinis

Niklas Aavad

Casper Dam Larsen

...

2024/4/17

ReliK: A Reliability Measure for Knowledge Graph Embeddings

Maximilian K Egger

Wenyue Ma

Davide Mottin

Panagiotis Karras

Ilaria Bordino

...

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

...

2024/3/15

Benchmarking Large Language Models for Molecule Prediction Tasks

arXiv preprint arXiv:2403.05075

Zhiqiang Zhong

Kuangyu Zhou

Davide Mottin

2024/3/8

EvolMPNN: Predicting Mutational Effect on Homologous Proteins by Evolution Encoding

arXiv preprint arXiv:2402.13418

Zhiqiang Zhong

Davide Mottin

2024/2/20

How Faithful are Self-Explainable GNNs?

arXiv preprint arXiv:2308.15096

Marc Christiansen

Lea Villadsen

Zhiqiang Zhong

Stefano Teso

Davide Mottin

2023/8/29

ActUp: Analyzing and Consolidating tSNE and UMAP

arXiv preprint arXiv:2305.07320

Andrew Draganov

Jakob Rødsgaard Jørgensen

Katrine Scheel Nellemann

Davide Mottin

Ira Assent

...

2023/5/12

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

Zhiqiang Zhong

Davide Mottin

2023/8/6

Comprehensive Evaluation of Algorithms for Unrestricted Graph Alignment

Konstantinos Skitsas

Karol Orlowski

Judith Hermanns

Davide Mottin

Panagiotis Karras

2023

Grasp: Scalable graph alignment by spectral corresponding functions

ACM Transactions on Knowledge Discovery from Data

Judith Hermanns

Konstantinos Skitsas

Anton Tsitsulin

Marina Munkhoeva

Alexander Kyster

...

2023/2/25

Ucode: Unified community detection with graph convolutional networks

Machine Learning

Atefeh Moradan

Andrew Draganov

Davide Mottin

Ira Assent

2023/12

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

arXiv preprint arXiv:2309.01706

Zhiqiang Zhong

Yangqianzi Jiang

Davide Mottin

2023/9/4

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

arXiv preprint arXiv:2206.09689

Andrew Draganov

Tyrus Berry

Jakob Rødsgaard Jørgensen

Katrine Scheel Nellemann

Ira Assent

...

2022/6/20

GraB: Graph Benchmark for Heterogeneous Graph Clustering

Malik Sebastian Stær Knudsen

Laurits Almskou Brodal

Peter Kristoffer Peczalski

Atefeh Moradan

Davide Mottin

...

2022

Knowledge Graph Exploration Systems: are we lost?

Matteo Lissandrini

Davide Mottin

Katja Hose

Torben Bach Pedersen

2022

Grasp: Graph alignment through spectral signatures

Judith Hermanns

Anton Tsitsulin

Marina Munkhoeva

Alex Bronstein

Davide Mottin

...

2021

SOFOS: demonstrating the challenges of materialized view selection on knowledge graphs

Georgia Troullinou

Haridimos Kondylakis

Matteo Lissandrini

Davide Mottin

2021/6/9

FREDE: Anytime Graph Embeddings

arXiv preprint arXiv:2006.04746

Anton Tsitsulin

Marina Munkhoeva

Davide Mottin

Panagiotis Karras

Ivan Oseledets

...

2020/6/8

See List of Professors in Davide Mottin University(Aarhus Universitet)

Co-Authors

H-index: 73
Alex Bronstein

Alex Bronstein

Technion - Israel Institute of Technology

H-index: 52
Torben Bach Pedersen

Torben Bach Pedersen

Aalborg Universitet

H-index: 38
Danai Koutra

Danai Koutra

University of Michigan

H-index: 35
Ira Assent

Ira Assent

Aarhus Universitet

H-index: 29
Yannis Velegrakis

Yannis Velegrakis

Universiteit Utrecht

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