Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Advanced Graph Neural Networks, Graph Theory and Algorithms, Complex Network Analysis Techniques, and Neural Networks and Applications.
An explainable decision support system for predictive process analytics
A systematic review of value-aware recommender systems
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview
Multiresolution Reservoir Graph Neural Network
Author Correction: Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’
Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face Recognition
Polynomial-based graph convolutional neural networks for graph classification
Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’
Multi-task learning for the prediction of wind power ramp events with deep neural networks
Conditional Constrained Graph Variational Autoencoders for MoleculeDesign
Universal Readout for Graph Convolutional Neural Networks
On Filter Size in Graph Convolutional Networks
Tree-Based Kernel for Graphs With Continuous Attributes
Measuring the expressivity of graph kernels through Statistical Learning Theory
Multiple Graph-Kernel Learning