12 citations · 19 across the 8 of their papers we have counts for
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cs.LG2020★ 2 cited
RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow
Samuel Glass, Simeon Spasov, Pietro Liò
A novel method to identify salient computational paths within randomly wired neural networks before training is proposed. The computational graph is pruned based on a node mass pro…
cs.LG2020★ 3 cited
GRADE: Graph Dynamic Embedding
Simeon Spasov, Alessandro Di Stefano, Pietro Lio +1
Representation learning of static and more recently dynamically evolving graphs has gained noticeable attention. Existing approaches for modelling graph dynamics focus extensively…