1 citations · 3 across the 8 of their papers we have counts for
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cs.LG2023★ 1 cited
Transferability of Graph Neural Networks using Graphon and Sampling Theories
A. Martina Neuman, Jason J. Bramburger
Graph neural networks (GNNs) have become powerful tools for processing graph-based information in various domains. A desirable property of GNNs is transferability, where a trained…
stat.ML2023★ 1 cited
Graph Laplacians on Shared Nearest Neighbor graphs and graph Laplacians on -Nearest Neighbor graphs having the same limit
A. Martina Neuman
A Shared Nearest Neighbor (SNN) graph is a type of graph construction using shared nearest neighbor information, which is a secondary similarity measure based on the rankings induc…