39 citations · 63 across the 24 of their papers we have counts for
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cs.LG2021
Deformable Graph Convolutional Networks
Jinyoung Park, Sungdong Yoo, Jihwan Park +1
Graph neural networks (GNNs) have significantly improved the representation power for graph-structured data. Despite of the recent success of GNNs, the graph convolution in most GN…
cs.LG2021★ 4 cited
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning
Dasol Hwang, Jinyoung Park, Sunyoung Kwon +3
In recent years, graph neural networks (GNNs) have been widely adopted in the representation learning of graph-structured data and provided state-of-the-art performance in various…