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researcher

Florence Regol

17 papers hereh-index 9248 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author8

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.LG14
  • stat.ML2
  • cs.CL1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedBayesian Graph Convolutional Neural Networks using Node Copying

13 citations · 37 across the 15 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 13 cited

Bayesian Graph Convolutional Neural Networks using Node Copying

Soumyasundar Pal, Florence Regol, Mark Coates

Graph convolutional neural networks (GCNN) have numerous applications in different graph based learning tasks. Although the techniques obtain impressive results, they often fall sh…

cs.LG2019★ 9 cited

Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning

Soumyasundar Pal, Florence Regol, Mark Coates

Graph convolutional neural networks (GCNN) have been successfully applied to many different graph based learning tasks including node and graph classification, matrix completion, a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.