Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation

20 Nov 2019Zequn SunChengming WangWei HuMuhao ChenJian DaiWei ZhangYuzhong Qu

Graph neural networks (GNNs) have emerged as a powerful paradigm for embedding-based entity alignment due to their capability of identifying isomorphic subgraphs. However, in real knowledge graphs (KGs), the counterpart entities usually have non-isomorphic neighborhood structures, which easily causes GNNs to yield different representations for them... (read more)

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