25 citations · 49 across the 9 of their papers we have counts for
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cs.AI2022★ 1 cited
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion
Guanglin Niu, Bo Li, Yongfei Zhang +1
Knowledge graphs store a large number of factual triples while they are still incomplete, inevitably. The previous knowledge graph completion (KGC) models predict missing links bet…
cs.AI2021★ 1 cited
Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference
Guanglin Niu, Bo Li, Yongfei Zhang +1
Knowledge graph (KG) inference aims to address the natural incompleteness of KGs, including rule learning-based and KG embedding (KGE) models. However, the rule learning-based mode…
cs.AI2020★ 4 cited
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference
Guanglin Niu, Bo Li, Yongfei Zhang +4
Inference on a large-scale knowledge graph (KG) is of great importance for KG applications like question answering. The path-based reasoning models can leverage much information ov…