Daniele Grattarola

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Cesare AlippiUniversità della Svizzera italiana, Politecnico di MilanoVerified email at usi.ch
Lorenzo LiviUniversity of Manitoba and University of ExeterVerified email at umanitoba.ca
Filippo Maria BianchiUiT the Arctic University of Norway - Dept. of Mathematics and StatisticsVerified email at uit.no
Daniele ZambonThe Swiss AI Lab IDSIA, USIVerified email at usi.ch
Taufik A ValianteProfessor, Division of Neurosurgery, Department of Surgery, University of TorontoVerified email at uhn.ca
Zhiqiang ZhongPostdoc at Aarhus UniversityVerified email at cs.au.dk
Guadalupe GonzalezPrescient Design | Genentech | RocheVerified email at roche.com
Jun PangUniversity of LuxembourgVerified email at uni.lu
Pierre VandergheynstProfessor of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Vikram Khipple MulliganBiomolecular Design Group, Center for Computational Biology, Flatiron InstituteVerified email at flatironinstitute.org
Jack MaguireScientific Leader, GSKVerified email at gsk.com
Eugene KlyshkoPhD, Department of Physics, University of TorontoVerified email at mail.utoronto.ca
Hans MeloMenten AI, Inc.Verified email at mail.utoronto.ca
Leonardo Cellaex-IIT(Italian Institute of Techonology)Verified email at iit.it
Alberto Maria MetelliAssistant Professor, Politecnico di MilanoVerified email at polimi.it
Alberto GasparinApplied Scientist, AmazonVerified email at amazon.de
Benjamin PaassenBielefeld UniversityVerified email at techfak.uni-bielefeld.de
Barbara HammerProfessor, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Erik QuaeghebeurEindhoven University of TechnologyVerified email at tue.nl
Gennaro GalaEindhoven University of TechnologyVerified email at tue.nl

Daniele Grattarola

Isomorphic Labs

Verified email at isomorphiclabs.com - Homepage

Graph Neural Networks Machine Learning Deep Learning Artificial Intelligence


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Spectral Clustering with Graph Neural Networks for Graph Pooling FM Bianchi, D Grattarola, C Alippi International Conference on Machine Learning, 2020	542	2020
Graph neural networks with convolutional arma filters FM Bianchi, D Grattarola, L Livi, C Alippi IEEE transactions on pattern analysis and machine intelligence 44 (7), 3496-3507, 2021	528	2021
Graph neural networks in Tensorflow and Keras with Spektral D Grattarola, C Alippi IEEE Computational Intelligence Magazine, 2021	317	2021
Understanding pooling in graph neural networks D Grattarola, D Zambon, FM Bianchi, C Alippi IEEE transactions on neural networks and learning systems 35 (2), 2708-2718, 2022	116	2022
Hierarchical representation learning in graph neural networks with node decimation pooling FM Bianchi, D Grattarola, L Livi, C Alippi IEEE Transactions on Neural Networks and Learning Systems 33 (5), 2195-2207, 2020	69	2020
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds D Grattarola, D Zambon, C Alippi, L Livi IEEE Transactions on Neural Networks and Learning Systems, 2019	56*	2019
Learning graph cellular automata D Grattarola, L Livi, C Alippi Advances in Neural Information Processing Systems 34, 20983-20994, 2021	38	2021
Adversarial autoencoders with constant-curvature latent manifolds D Grattarola, L Livi, C Alippi Applied Soft Computing 81, 105511, 2019	33	2019
Generalised implicit neural representations D Grattarola, P Vandergheynst Advances in Neural Information Processing Systems 35, 30446-30458, 2022	27	2022
XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers JB Maguire, D Grattarola, VK Mulligan, E Klyshko, H Melo PLoS computational biology 17 (9), e1009037, 2021	26	2021
Content-Based Approaches for Cold-Start Job Recommendations M Bianchi, F Cesaro, F Ciceri, M Dagrada, A Gasparin, D Grattarola, ... Proceedings of the Recommender Systems Challenge 2017, 6, 2017	24	2017
Graph edit networks B Paassen, D Grattarola, D Zambon, C Alippi, BE Hammer International Conference on Learning Representations, 2020	18	2020
Seizure localisation with attention-based graph neural networks D Grattarola, L Livi, C Alippi, R Wennberg, T Valiante Expert Systems with Applications, 2022	17*	2022
Unsupervised network embedding beyond homophily Z Zhong, G Gonzalez, D Grattarola, J Pang arXiv preprint arXiv:2203.10866, 2022	13*	2022
Hierarchical neural cellular automata R Pande, D Grattarola Artificial Life Conference Proceedings 35 2023 (1), 20, 2023	9	2023
Autoregressive models for sequences of graphs D Zambon, D Grattarola, L Livi, C Alippi 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019	8	2019
Spektral D Grattarola Github,, 2020	6	2020
E (n)-equivariant graph neural cellular automata G Gala, D Grattarola, E Quaeghebeur arXiv preprint arXiv:2301.10497, 2023	4	2023
Deep Feature Extraction for Sample-Efficient Reinforcement Learning D Grattarola Politecnico di Milano, 2017	4	2017
Graph neural networks D Grattarola	1	2021

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