AI RESEARCH
Influence Strength Estimation in Hyperbolic Space for Social Influence Maximization
arXiv CS.LG
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ArXi:2502.13571v2 Announce Type: replace-cross The Influence Maximization (IM) problem aims to find a small set of influential users to maximize their influence spread in a social network. Traditional methods rely on fixed diffusion models with known parameters, limiting their generalization to real-world scenarios. In contrast, graph representation learning-based methods have gained wide attention for overcoming this limitation by learning user representations to capture influence characteristics.