Dinh-Duy Tran

Operationalization Matters: When Graph-Aware Learning Adds Value for IC-Based Influence Approximation

Approximating Monte Carlo Independent Cascade (MC-IC) influence rankings with a learned surrogate is only meaningful if the target itself is clearly defined. We study this dependency on the Twitch Gamers graph under two IC operationalizations, keeping the graph, labeled-node sample, split, Monte Carlo budget, and evalu...