While other neural architectures for graphs exist, we believe that GGNN is more suitable for the Chinese NER task for its better capability of capturing the local textual information compared to other GNNs such as GCN (Kipf and Welling, 2017).
the traditional GGNN (Li et al., 2016) is unable to distinguish edges with different labels.