21 citations · 26 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 21 cited
Pre-train and Learn: Preserve Global Information for Graph Neural Networks
Danhao Zhu, Xin-yu Dai, Jiajun Chen
Graph neural networks (GNNs) have shown great power in learning on attributed graphs. However, it is still a challenge for GNNs to utilize information faraway from the source node.…
cs.CL2017★ 5 cited
Going Wider: Recurrent Neural Network With Parallel Cells
Danhao Zhu, Si Shen, Xin-Yu Dai +1
Recurrent Neural Network (RNN) has been widely applied for sequence modeling. In RNN, the hidden states at current step are full connected to those at previous step, thus the influ…