most citedGraph Transformer Networks: Learning Meta-path Graphs to Improve GNNs

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

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★ 2 cited

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

Seongjun Yun, Minbyul Jeong, Sungdong Yoo +5

Graph Neural Networks (GNNs) have been widely applied to various fields due to their powerful representations of graph-structured data. Despite the success of GNNs, most existing G…