most citedInterpretable and Efficient Heterogeneous Graph Convolutional Network

167 citations · 167 across the 1 of their papers we have counts for

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cs.LG2020★ 167 cited

Interpretable and Efficient Heterogeneous Graph Convolutional Network

Yaming Yang, Ziyu Guan, Jianxin Li +3

Graph Convolutional Network (GCN) has achieved extraordinary success in learning effective task-specific representations of nodes in graphs. However, regarding Heterogeneous Inform…