most citedQuantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NE2021

One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction

Umut Guvercin, Mohammed Amine Gharsallaoui, Islem Rekik

Few-shot learning presents a challenging paradigm for training discriminative models on a few training samples representing the target classes to discriminate. However, classificat…

cs.LG2021★ 2 cited

Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data

Mohammed Amine Gharsallaoui, Islem Rekik

Graph neural networks (GNNs) have witnessed an unprecedented proliferation in tackling several problems in computer vision, computer-aided diagnosis, and related fields. While prio…