22 citations · 37 across the 13 of their papers we have counts for
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cs.LG2022
Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation
Yoonhyuk Choi, Jiho Choi, Taewook Ko +1
Graph neural networks (GNNs) are commonly used in semi-supervised settings. Previous research has primarily focused on finding appropriate graph filters (e.g. aggregation methods)…
cs.LG2022★ 2 cited
A Graph Convolution for Signed Directed Graphs
Taewook Ko, Chong-Kwon Kim
A signed directed graph is a graph with sign and direction information on the edges. Even though signed directed graphs are more informative than unsigned or undirected graphs, the…