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CliffRank outperforms existing methods in predicting activity cliffs, achieving a remarkable Spearman correlation of 0.6890 on small-molecule datasets.
FLaG achieves state-of-the-art performance by harnessing the power of frequency-domain representations, revealing how low- and high-frequency sensitivities can be strategically utilized across various tasks.
