AI RESEARCH
Graph-GRPO: Training Graph Flow Models with Reinforcement Learning
arXiv CS.LG
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ArXi:2603.10395v1 Announce Type: new Graph generation is a fundamental task with broad applications, such as drug discovery. Recently, discrete flow matching-based graph generation, \aka, graph flow model (GFM), has emerged due to its superior performance and flexible sampling. However, effectively aligning GFMs with complex human preferences or task-specific objectives remains a significant challenge. In this paper, we propose Graph-GRPO, an online reinforcement learning (RL) framework for