From Charts to Atlas: Merging Latent Spaces into One

no code implementations • 11 Nov 2023 • Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà

Models trained on semantically related datasets and tasks exhibit comparable inter-sample relations within their latent spaces.

Metric Based Few-Shot Graph Classification

1 code implementation • 8 Jun 2022 • Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà

In this work, we tackle the problem of few-shot graph classification, showing that equipping a simple distance metric learning baseline with a state-of-the-art graph embedder allows to obtain competitive results on the task. While the simplicity of the architecture is enough to outperform more complex ones, it also allows straightforward additions.

Data Augmentation Few-Shot Learning +3