SOURCE-LINKED INTELLIGENCE

Budgeted Task-Aware Acquisition of Dynamic Networks

arXiv · AI, language, vision and robotics · article · Sep 5, 2026 · UTC

Learning on dynamic graphs is difficult when changes in the underlying network are only partially observed. Acquiring current graph information incurs observation and computational costs, making complete updates impractical under limited resources. This paper focuses on budgeted task-aware acquisition on dynamic networks, where a model needs to decide which stale graph information to refresh for a downstream task. We propose Scout, a lightweight framework that learns the task value of querying each node from the maintained graph and observation history. Our evaluation covers one synthetic and

Read original source ↗ Open in workspace

recordType

paper

region

Global