Mottin, Davide

8 publications

NeurIPS 2025 Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction Zhiqiang Zhong, Davide Mottin

ECML-PKDD 2024 Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding Zhiqiang Zhong, Davide Mottin

NeurIPS 2024 FUGAL: Feature-Fortified Unrestricted Graph Alignment Aditya Bommakanti, Harshith Reddy Vonteri, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras

IJCAI 2023 ActUp: Analyzing and Consolidating tSNE and UMAP Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay

LoG 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

MLJ 2023 UCoDe: Unified Community Detection with Graph Convolutional Networks Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent

ICLR 2020 The Shape of Data: Intrinsic Distance for Data Distributions Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alex Bronstein, Ivan Oseledets, Emmanuel Müller

NeurIPS 2020 What if Neural Networks Had SVDs? Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin