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CliffRank: A Dual-Branch Framework for Activity-Cliff Ranking Prediction
Not provided in the content
rankingactivity predictionmachine learningbiological data
2609.01673
Builder Relevance
2h ago70%
Abstract
CliffRank combines absolute-activity regression with ranking-consistency learning to improve activity-cliff ranking predictions.
Reality Card
Core Claim
CliffRank achieved the highest mean Spearman correlation of 0.6890 on small-molecule datasets using PNA with activated Pairwise Preference Consistency after 120 epochs.
Method / Result
Mean Spearman correlation of 0.6890 on small-molecule datasets.
Limitations
High-quality data that resolve underlying mechanisms remain limited, affecting reproducibility.
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