7 citations · 7 across the 1 of their papers we have counts for
4 papers
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,…
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…
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…
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation
Fang Gong, Meng Wang, Haofen Wang +2
Most of the existing medicine recommendation systems that are mainly based on electronic medical records (EMRs) are significantly assisting doctors to make better clinical decision…