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20182026
most citedLearning to Exploit Long-term Relational Dependencies in Knowledge Graphs

106 citations · 221 across the 33 of their papers we have counts for

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2 papers · 1 filter

cs.CL2018★ 9 cited

Recurrent Skipping Networks for Entity Alignment

Lingbing Guo, Zequn Sun, Ermei Cao +1

We consider the problem of learning knowledge graph (KG) embeddings for entity alignment (EA). Current methods use the embedding models mainly focusing on triple-level learning, wh…

cs.LG2018★ 2 cited

DSKG: A Deep Sequential Model for Knowledge Graph Completion

Lingbing Guo, Qingheng Zhang, Weiyi Ge +2

Knowledge graph (KG) completion aims to fill the missing facts in a KG, where a fact is represented as a triple in the form of . Current KG completion…