ESE Ph.D. Thesis Defense: “Graph Machine Learning under Requirements”
Greenberg Lounge (Room 114), Skirkanich Hall 210 South 33rd Street, Philadelphia, PA, United StatesGraphs are powerful mathematical tools that enable modeling of complex systems. Graph machine learning exploits possibly unknown data structures, which provides a unified approach to tackle a wide variety of problems. However useful in practice, graph machine learning solutions tend to suffer from three main limitations: they do not scale with the size of the […]