Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning

Knowledge Graphs (KGs) have become increasingly common for representing large-scale linked data. However, their immense size has required graph learning systems to assist humans in analysis, interpretation, and pattern detection. While there have been promising results for researcher- and clinician- empowerment through a variety of KG learning systems, we identify four key deficiencies in state-of-the-art graph learning that simultaneously limit KG learning performance and diminish the ability of humans to interface optimally with these learning systems. These deficiencies are: 1) …

analysis become challenges cs.ai cs.lg data detection empowerment graph graph learning graphs humans interpretation knowledge knowledge graph knowledge graphs learning systems researcher scale systems through