Alessandro Sperduti

Alessandro Sperduti

Università degli Studi di Padova

H-index: 45

Europe-Italy

About Alessandro Sperduti

Alessandro Sperduti, With an exceptional h-index of 45 and a recent h-index of 25 (since 2020), a distinguished researcher at Università degli Studi di Padova,

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

A unified framework for backpropagation-free soft and hard gated graph neural networks

A Neural Rewriting System to Solve Algorithmic Problems

Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies

TumFlow: An AI Model for Predicting New Anticancer Molecules

Empowering simple graph convolutional networks

An untrained neural model for fast and accurate graph classification

Enhancing Human Resources through Data Science: a Case in Recruiting

A Hybrid System for Systematic Generalization in Simple Arithmetic Problems

Alessandro Sperduti Information

University

Position

___

Citations(all)

10782

Citations(since 2020)

5335

Cited By

7664

hIndex(all)

45

hIndex(since 2020)

25

i10Index(all)

138

i10Index(since 2020)

71

Email

University Profile Page

Università degli Studi di Padova

Google Scholar

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Top articles of Alessandro Sperduti

Title

Journal

Author(s)

Publication Date

A unified framework for backpropagation-free soft and hard gated graph neural networks

Knowledge and Information Systems

Luca Pasa

Nicolò Navarin

Wolfgang Erb

Alessandro Sperduti

2023/12/26

A Neural Rewriting System to Solve Algorithmic Problems

arXiv preprint arXiv:2402.17407

Flavio Petruzzellis

Alberto Testolin

Alessandro Sperduti

2024/2/27

Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies

arXiv preprint arXiv:2402.17396

Flavio Petruzzellis

Alberto Testolin

Alessandro Sperduti

2024/2/27

TumFlow: An AI Model for Predicting New Anticancer Molecules

bioRxiv

Davide Rigoni Sr

Sachithra Yaddehige

Nicoletta Bianchi

Alessandro Sperduti

Stefano Moro

...

2024

Empowering simple graph convolutional networks

IEEE Transactions on Neural Networks and Learning Systems

Luca Pasa

Nicolo Navarin

Wolfgang Erb

Alessandro Sperduti

2023/1/2

An untrained neural model for fast and accurate graph classification

Nicolò Navarin

Luca Pasa

Claudio Gallicchio

Alessandro Sperduti

2023/9/22

Enhancing Human Resources through Data Science: a Case in Recruiting

Paolo Frazzetto

Muhammad Uzair Ul Haq

Alessandro Sperduti

2023

A Hybrid System for Systematic Generalization in Simple Arithmetic Problems

arXiv preprint arXiv:2306.17249

Flavio Petruzzellis

Alberto Testolin

Alessandro Sperduti

2023/6/29

An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features

Nicolo Navarin

Luca Pasa

Luca Oneto

Alessandro Sperduti

2023

Rgcvae: Relational graph conditioned variational autoencoder for molecule design

arXiv preprint arXiv:2305.11699

Davide Rigoni

Nicolò Navarin

Alessandro Sperduti

2023/5/19

Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement

arXiv preprint arXiv:2305.10913

Davide Rigoni

Luca Parolari

Luciano Serafini

Alessandro Sperduti

Lamberto Ballan

2023/5/18

Topology preserving maps as aggregations for Graph Convolutional Neural Networks

Paolo Frazzetto

Luca Pasa

Nicolo Navarin

Alessandro Sperduti

2023/3/27

Uncovering the Spectrum of Graph Generative Models: From One-Shot to Sequential

Samuel Cognolato

Alessandro Sperduti

Luciano Serafini

2023/10/13

Polynomial-based graph convolutional neural networks for graph classification

Machine Learning

Luca Pasa

Nicolò Navarin

Alessandro Sperduti

2022/4

Generative Topographic Mapping Based Aggregation Function for GCNN

Paolo Frazzetto

Luca Pasa

Nicolò Navarin

Alessandro Sperduti

2022/9/19

Aligning and linking entity mentions in image, text, and knowledge base

Data & Knowledge Engineering

Shahi Dost

Luciano Serafini

Marco Rospocher

Lamberto Ballan

Alessandro Sperduti

2022/3/1

On Backpropagation-Free Graph Convolutions

Luca Pasa

Nicolò Navarin

Wolfgang Erb

Alessandro Sperduti

2022/9/19

Biased Edge Dropout in NIFTY for Fair Graph Representation Learning.

Federico Caldart

Luca Pasa

Luca Oneto

Alessandro Sperduti

Nicolo Navarin

2022

Towards learning trustworthily, automatically, and with guarantees on graphs: An overview

Luca Oneto

Nicolo Navarin

Battista Biggio

Federico Errica

Alessio Micheli

...

2022/7/7

Deep learning for graph-structured data

Luca Pasa

Nicolò Navarin

Alessandro Sperduti

2022

See List of Professors in Alessandro Sperduti University(Università degli Studi di Padova)