May 31, 2023 · Artificial Intelligence

Applying Graph Neural Networks for Anti‑Cheat in Activity Scenarios

This article presents how graph neural network models such as GCN and SCGCN are employed to detect and recall cheating groups in user‑invitation (master‑apprentice) activity scenarios, addressing the lack of relational features and low sample purity, and demonstrates significant recall improvements through multi‑graph fusion techniques.

GCNGraph Neural NetworkSCGCN

0 likes · 12 min read

Applying Graph Neural Networks for Anti‑Cheat in Activity Scenarios

Baidu Geek Talk

Mar 20, 2023 · Artificial Intelligence

How Graph Neural Networks Boost Anti‑Cheat in User Referral Activities

This article analyzes the use of graph neural network models, including GCN and multi‑graph SCGCN, to tackle cheating in referral‑based user acquisition by capturing user relationships, improving sample purity, and achieving up to a 50% increase in cheat‑sample recall.

GCNSCGCNanti-cheat

0 likes · 12 min read

How Graph Neural Networks Boost Anti‑Cheat in User Referral Activities