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LatentFlow is a visual analytics system for analyzing latent spaces in molecular graph neural networks, helping scientists understand how clusters of molecular embeddings evolve across layers and model states.
This paper introduces SCOPE-Bench, a benchmark for evaluating molecular out-of-distribution generalization, and POMA, a framework using reinforcement learning to select source domains for domain adaptation, achieving significant error reductions on 3D molecular models.