Search Results for author: Sungdong Yoo

Found 2 papers, 2 papers with code

Deformable Graph Convolutional Networks

1 code implementation29 Dec 2021 Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim

To address the two common problems of graph convolution, in this paper, we propose Deformable Graph Convolutional Networks (Deformable GCNs) that adaptively perform convolution in multiple latent spaces and capture short/long-range dependencies between nodes.

Node Classification on Non-Homophilic (Heterophilic) Graphs Representation Learning

Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs

1 code implementation11 Jun 2021 Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim

Despite the success of GNNs, most existing GNNs are designed to learn node representations on the fixed and homogeneous graphs.

Node Classification

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