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graph-domain-adaptation

topic1 events
papersTODAY 04:00 UTC

New arXiv Paper Proposes Reliability-Aware Prototype Learning for Graph Domain Adaptation

A newly posted arXiv paper introduces a method for adapting graph-based prediction models to new data with limited supervision or feedback. The approach, called reliability-aware prototype learning, aims to make agentic systems more data-efficient when reusing prior knowledge after deployment. It falls under the machine learning category and is a preprint, not yet peer-reviewed.

graph-learning/domain-adaptation/agents/arxiv