For relation extraction, for example, GCNs have been shown superior to tree LSTMs for encoding a dependency tree (Zhang et al., 2018c) We investigate both GCNs and GRNs as tree communication models for tree sentiment classification.
initialized with a vanilla tree LSTM representation, each node repeatedly exchanges information with its neighbours using graph neural networks.