Graph neural networks (GNNs) are able to achieve state-of-the-art performance for node representation and classification in a network. But, most of the existing GNNs can be applied to simple graphs, ...

Therefore, to address this challenge, we propose novel relation-aware line graph neural networks for cross-lingual entity alignment (RALG). More specifically, we first propose to learn relation ...