3 citations · 6 across the 4 of their papers we have counts for
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cs.LG2023★ 3 cited
Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um, Jiwoong Park, Seulki Park +1
This paper investigates a missing feature imputation problem for graph learning tasks. Several methods have previously addressed learning tasks on graphs with missing features. How…
cs.LG2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
Jiwoong Park, Minsik Lee, Hyung Jin Chang +2
We propose a symmetric graph convolutional autoencoder which produces a low-dimensional latent representation from a graph. In contrast to the existing graph autoencoders with asym…
cs.LG2019★ 3 cited
Neuro-Optimization: Learning Objective Functions Using Neural Networks
Younghan Jeon, Minsik Lee, Jin Young Choi
Mathematical optimization is widely used in various research fields. With a carefully-designed objective function, mathematical optimization can be quite helpful in solving many pr…