Web: http://arxiv.org/abs/2205.04692

May 11, 2022, 1:11 a.m. | Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen

cs.CL updates on arXiv.org arxiv.org

We study the knowledge extrapolation problem to embed new components (i.e.,
entities and relations) that come with emerging knowledge graphs (KGs) in the
federated setting. In this problem, a model trained on an existing KG needs to
embed an emerging KG with unseen entities and relations. To solve this problem,
we introduce the meta-learning setting, where a set of tasks are sampled on the
existing KG to mimic the link prediction task on the emerging KG. Based on
sampled tasks, …

arxiv graphs knowledge knowledge graphs learning meta meta-learning

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