Adding more communication pathways between agents doesn’t necessarily improve multi-agent performance. In a controlled, reproducible experiment across 50 runs, recovery remained remarkably stable from 20% to 100% relationship density. But as the network became denser, the fraction of edges actually used fell sharply—revealing a gap between configured connectivity and behavioral connectivity.

The post [Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used](https://towardsdatascience.com/graph-engineering-isnt-about-more-connections-its-about-which-ones-get-used/) appeared first on [Towards Data Science](https://towardsdatascience.com).