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Graph neural networks are used for collusion detection (wallhack and communication-based cheating in team games) by modeling player interaction graphs and detecting anomalous patterns, such as players consistently targeting enemies through walls or demonstrating perfect awareness of enemy positions without line-of-sight.

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