Attention Layer vs Attention Head: Complete Explanation
This is a fundamental concept in Graph Attention Networks (GATs). Let me explain with clear examples and visualizations.
The Short Answer
Attention Layer = A complete level of processing in the network (like a floor in a building)
Attention Head = One "perspective" within a layer (like multiple people looking at the same problem from different angles)
SIMPLE ANALOGY: Medical Diagnosis Team │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ATTENTION HEAD = A Single Doctor │
│ • Each doctor has their own expertise │
│ • Each examines the patient from their perspective │
│ • Each gives their own opinion │
│ │
│ ATTENTION LAYER = The Entire Medical Team (Layer 1) │
│ • Contains MULTIPLE doctors (heads) │
│ • All doctors work in parallel │
│ • Their opinions are COMBINED │
│ │
│ MULTIPLE LAYERS = Multiple Rounds of Consultation │
│ • Layer 1: General practitioners │
│ • Layer 2: Specialists │
│ • Each layer refines the understanding │
│
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