activity
20182022
most citedIteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

21 citations · 92 across the 18 of their papers we have counts for

collaborators

27 papers

cs.AI20221 cited

Low-resource Personal Attribute Prediction from Conversation

Yinan Liu, Hu Chen, Wei Shen +1

Personal knowledge bases (PKBs) are crucial for a broad range of applications such as personalized recommendation and Web-based chatbots. A critical challenge to build PKBs is extr…

cs.AI2022

Understanding Adverse Biological Effect Predictions Using Knowledge Graphs

Erik Bryhn Myklebust, Ernesto Jimenez-Ruiz, Jiaoyan Chen +2

Extrapolation of adverse biological (toxic) effects of chemicals is an important contribution to expand available hazard data in (eco)toxicology without the use of animals in labor…

cs.AI202213 cited

Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective

Wen Zhang, Jiaoyan Chen, Juan Li +3

Knowledge graph (KG) reasoning is becoming increasingly popular in both academia and industry. Conventional KG reasoning based on symbolic logic is deterministic, with reasoning re…

cs.AI20215 cited

Zero-shot Visual Question Answering using Knowledge Graph

Zhuo Chen, Jiaoyan Chen, Yuxia Geng +3

Incorporating external knowledge to Visual Question Answering (VQA) has become a vital practical need. Existing methods mostly adopt pipeline approaches with different components f…

cs.CL20212 cited

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding

Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen +4

Knowledge Graph (KG) alignment is to discover the mappings (i.e., equivalent entities, relations, and others) between two KGs. The existing methods can be divided into the embeddin…

cs.CL20214 cited

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System

Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen +2

Knowledge Graph (KG) alignment aims at finding equivalent entities and relations (i.e., mappings) between two KGs. The existing approaches utilize either reasoning-based or semanti…