activity
20202026
most citedPositive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion

38 citations · 75 across the 10 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.AI2022★ 2 cited

FALCON: Scalable Reasoning over Inconsistent ALC Ontologies

Tilman Hinnerichs, Zhenwei Tang, Xi Peng +2

Ontologies are one of the richest sources of knowledge. Real-world ontologies often contain thousands of axioms and are often human-made. Hence, they may contain inconsistency and…

cs.IR2022

Customized Conversational Recommender Systems

Shuokai Li, Yongchun Zhu, Ruobing Xie +5

Conversational recommender systems (CRS) aim to capture user's current intentions and provide recommendations through real-time multi-turn conversational interactions. As a human-m…

cs.LG2022★ 38 cited

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion

Zhenwei Tang, Shichao Pei, Zhao Zhang +4

Most real-world knowledge graphs (KG) are far from complete and comprehensive. This problem has motivated efforts in predicting the most plausible missing facts to complete a given…

cs.AI2022

TAR: Neural Logical Reasoning across TBox and ABox

Zhenwei Tang, Shichao Pei, Xi Peng +3

Many ontologies, i.e., Description Logic (DL) knowledge bases, have been developed to provide rich knowledge about various domains. An ontology consists of an ABox, i.e., assertion…

cs.AI2022

Description Logic EL++ Embeddings with Intersectional Closure

Xi Peng, Zhenwei Tang, Maxat Kulmanov +2

Many ontologies, in particular in the biomedical domain, are based on the Description Logic EL++. Several efforts have been made to interpret and exploit EL++ ontologies by distrib…