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Architect
Architect
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.

GCNMachine LearningSCGCN
0 likes · 12 min read
Applying Graph Neural Networks for Anti‑Cheat in Activity Scenarios
Efficient Ops
Efficient Ops
Aug 21, 2018 · Operations

How Tencent SNG Uses Business Profiling to Optimize Capacity, Activity, and Multi‑Region Deployment

This article explains how Tencent's SNG operations team builds and applies business profiling models—including capacity, activity, core‑link, and SET planning—to predict performance, automate scaling, identify critical services, and efficiently distribute workloads across multiple regions.

Capacity Planningactivity modelingcore link view
0 likes · 11 min read
How Tencent SNG Uses Business Profiling to Optimize Capacity, Activity, and Multi‑Region Deployment