This allows you to control the input to the model, resulting in a responsive, easy-to-interrogate natural language interface on top of your graph. This Small Language Model (SLM) radically cuts ...

Graph processing at hyperscale has historically been a challenge because of the sheer complexity of algorithms and graph workflows ... fraud with final intervention on a graph neural network ...

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

The legendary graph isomorphism problem may be harder than a 2015 result seemed to suggest. “In Laci Babai, you have one of the most legendary and fearsome theoretical computer scientists there ever ...