15 citations · 36 across the 3 of their papers we have counts for
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cs.AI2020
KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis
Filip Ilievski, Daniel Garijo, Hans Chalupsky +8
Knowledge graphs (KGs) have become the preferred technology for representing, sharing and adding knowledge to modern AI applications. While KGs have become a mainstream technology,…
cs.AI2019★ 7 cited
Structured Query Construction via Knowledge Graph Embedding
Ruijie Wang, Meng Wang, Jun Liu +2
In order to facilitate the accesses of general users to knowledge graphs, an increasing effort is being exerted to construct graph-structured queries of given natural language ques…
cs.AI2017★ 14 cited
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding
Meng Wang
Minimizing adverse reactions caused by drug-drug interactions has always been a momentous research topic in clinical pharmacology. Detecting all possible interactions through clini…