3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Asymptotic generalization error of a single-layer graph convolutional network
O. Duranthon, L. Zdeborová
While graph convolutional networks show great practical promises, the theoretical understanding of their generalization properties as a function of the number of samples is still i…
cs.SI2023★ 2 cited
Optimal Inference in Contextual Stochastic Block Models
O. Duranthon, L. Zdeborová
The contextual stochastic block model (cSBM) was proposed for unsupervised community detection on attributed graphs where both the graph and the high-dimensional node information c…
cond-mat.dis-nn2023★ 3 cited
Neural-prior stochastic block model
O. Duranthon, L. Zdeborová
The stochastic block model (SBM) is widely studied as a benchmark for graph clustering aka community detection. In practice, graph data often come with node attributes that bear ad…