How Directed Sparse Graphs Improve Multi-Agent Communication
Analysis by the aitrendblend editorial team · Pillar 5, Graph neural networks · Published in Knowledge-Based Systems, volume 349, 2026, DOI 10.1016/j.knosys.2026.116484 multi-agent reinforcement learning sparse communication graph directed message passing influence estimation graph neural networks DGSDC scores agent-to-agent influence, prunes weak links, then lets each agent choose whether to send, receive, both, or neither. […]
How Directed Sparse Graphs Improve Multi-Agent Communication Read More »
