1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Do Sheaf Neural Networks Use Holonomy? A Measure--Intervene--Control Study
Ankit Grover, Rémi Bourgerie
Geometric architectures are often motivated by internal mechanisms, but accuracy alone does not show whether predictions use them. In Sheaf Neural Networks (SNNs), edge transports…
cs.LG2026
Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA
Ankit Grover, Lodovico Giaretta, Rémi Bourgerie +1
The integration of Graph Neural Networks (GNNs) with Large Language Models (LLMs) has emerged as a promising paradigm for Graph Question Answering (GraphQA). However, effective met…
cs.LG2023★ 1 cited
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks
R. Bourgerie, T. Zanouda
5G and Beyond Networks become increasingly complex and heterogeneous, with diversified and high requirements from a wide variety of emerging applications. The complexity and divers…