5 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 5 cited
A pipeline for fair comparison of graph neural networks in node classification tasks
Wentao Zhao, Dalin Zhou, Xinguo Qiu +1
Graph neural networks (GNNs) have been investigated for potential applicability in multiple fields that employ graph data. However, there are no standard training settings to ensur…
cs.CL2019★ 2 cited
HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing
Wei Jiang, Zhenghua Li, Yu Zhang +1
This paper describes a simple UCCA semantic graph parsing approach. The key idea is to convert a UCCA semantic graph into a constituent tree, in which extra labels are deliberately…