24 citations · 35 across the 14 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
Taxonomy of reduction matrices for Graph Coarsening
Antonin Joly, Nicolas Keriven, Aline Roumy
Graph coarsening aims to diminish the size of a graph to lighten its memory footprint, and has numerous applications in graph signal processing and machine learning. It is usually…
cs.LG2025
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
Nicolas Keriven
Oversmoothing has long been identified as a major limitation of Graph Neural Networks (GNNs): input node features are smoothed at each layer and converge to a non-informative repre…