Graphs are among the most widely-used data structures in machine learning ... additional relational structure and leading to improved prediction. We will cover examples and techniques for node ...

Entities and Relations for representing individual pieces of data, and Types for adding structure to information.” Entities, Relations and Types are defined by developers. The Graph will ...

“We’ve realized that the data structures we’ve used to study things ... The higher-order analogue of a graph, for example, is called a hypergraph, and instead of edges, it has “hyperedges.” These can ...