Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.

The main objective of work package 2 is to investigate discrete representations of nonlocal methods. We identify finite weighted graphs as suitable mathematical structures to formulate nonlocal ...

These representations can be sourced from ... graphs and generation from scratch — to set up scene graphs powering 24 single-image data generators and 14 multi-image generators. “ ...