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ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

Value signals are aggregated user-level moral representations that capture users' inferred value-related tendencies from their online discourse. User behavior on social media is shaped not only by what users say or whom they interact with, but also by the value signal through which they express attitudes. Existing user representation methods largely miss this value-relevant dimension. We propose ValueGraph, a graph pre-training framework that uses automatically inferred moral-value signals as noisy auxiliary signals for contextualized user representation. From post-reply graphs, ValueGraph lea

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First collected: 2026-09-21T07:31:56.984Z. This is not the publication date.