A Tale of Two Spiders: Why GNNs Outperform LLMs in Network Operations

Meet Gary and Larry... two spiders with very different approaches to managing their webs.

Gary the GNN Spider

Gary built his web himself. Every thread, every intersection, every pathway. Gary knows his web inside and out. When something happens, a tremor in the silk, a disturbance in the pattern; Gary instantly traces the source. He understands how every part connects, so when prey lands, he pinpoints the exact location in seconds and never misses a meal. Gary predicts issues, optimizes his web, and runs it with maximum efficiency.

Larry the LLM Spider

Larry’s web is a mystery. He didn’t build it; he inherited it from other spiders and relies on secondhand stories to know what’s happening. When he hears something’s up, he pieces together clues from what others say. Sometimes the information is accurate, sometimes not. By the time Larry figures out where the action is, the prey is often long gone. He spends more time running around, checking the wrong spots, and missing opportunities.

The Lesson for Network Operations

• Gary (GNN): Deep network understanding, instant anomaly detection, precise root cause analysis, always in the right place at the right time.

• Larry (LLM): Relies on fragmented, indirect info, often chasing shadows, missing the root cause, reacting too late.

In network operations, you want Gary on your side. NetAI’s GNN-based AI NOC is like Gary - built for deep understanding, fast and accurate detection, and reliable outcomes. Competitors relying on LLMs are stuck playing catch-up, just like Larry.