35 citations · 62 across the 10 of their papers we have counts for
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cs.LG2021★ 35 cited
CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
Entity type prediction is an important problem in knowledge graph (KG) research. A new KG entity type prediction method, named CORE (COmplex space Regression and Embedding), is pro…
cs.LG2021★ 7 cited
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling
Yun-Cheng Wang, Xiou Ge, Bin Wang +1
Knowledge base completion is formulated as a binary classification problem in this work, where an XGBoost binary classifier is trained for each relation using relevant links in kno…
cs.LG2021
GraphHop: An Enhanced Label Propagation Method for Node Classification
Tian Xie, Bin Wang, C. -C. Jay Kuo
A scalable semi-supervised node classification method on graph-structured data, called GraphHop, is proposed in this work. The graph contains attributes of all nodes but labels of…