Metric Based Few-Shot Graph Classification
Tackling Graph Classification in data paucity scenarios with Distance Metric Learning techniques.
Topological Signal Processing over Simplicial Complexes (WIP)
Extension of the graph signal processing framework to simplicial complexes, with applications on real world scenarios.
Towards Conditionality for Probabilistic Diffusion Models
Testing of various approaches for the integration of conditionality into probabilistic diffusion models for image synthesis.
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.
Different approaches for large-scale recommender systems
Comparison of classical recommender system approaches with sequential ones in a big data regime.