Graph Neural Networks with Generated Parameters for Relation Extraction

ACL 2019 Hao ZhuYankai LinZhiyuan LiuJie FuTat-seng ChuaMaosong Sun

Recently, progress has been made towards improving relational reasoning in machine learning field. Among existing models, graph neural networks (GNNs) is one of the most effective approaches for multi-hop relational reasoning... (read more)

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