Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to ...

In this thesis, we seek to address these gaps by characterizing the versatility of embeddings to learning and mining on graphs. To this end, we contribute novel model-agnostic techniques for adapting ...