Deep Learning

Metric Based Few-Shot Graph Classification

Tackling Graph Classification in data paucity scenarios with Distance Metric Learning techniques.

Metric Based Few-Shot Graph Classification

Topological Signal Processing over Simplicial Complexes (WIP)

Extension of the graph signal processing framework to simplicial complexes, with applications on real world scenarios.

Topological Signal Processing over Simplicial Complexes (WIP)

Towards Conditionality for Probabilistic Diffusion Models

Testing of various approaches for the integration of conditionality into probabilistic diffusion models for image synthesis.

Towards Conditionality for Probabilistic Diffusion Models

Virality Prediction via Graph Neural Networks

Implementation of an ad-hoc graph neural network to predict how much a given Twitter hashtag will spread through the social network.

Virality Prediction via Graph Neural Networks

Different approaches for large-scale recommender systems

Comparison of classical recommender system approaches with sequential ones in a big data regime.

Different approaches for large-scale recommender systems