85 citations · 328 across the 28 of their papers we have counts for
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cs.AI2022★ 2 cited
MixKG: Mixing for harder negative samples in knowledge graph
Feihu Che, Guohua Yang, Pengpeng Shao +2
Knowledge graph embedding~(KGE) aims to represent entities and relations into low-dimensional vectors for many real-world applications. The representations of entities and relation…
cs.AI2020★ 2 cited
Tucker decomposition-based Temporal Knowledge Graph Completion
Pengpeng Shao, Guohua Yang, Dawei Zhang +3
Knowledge graphs have been demonstrated to be an effective tool for numerous intelligent applications. However, a large amount of valuable knowledge still exists implicitly in the…