we introduce a new concept called margin liquidity and leverage this concept to propose a highly profitable margin liquidity-providing position. we introduce a new concept called margin liquidity and leverage this concept to propose a highly profitable margin liquidity-providing position.

Our method, called GuidingPainter, prioritizes these regions where the model most needs a color hint, rather than just relying on the user's manual decision on where to give a color hint.

This retrospective study assigned subjects to the training (n = 1606 eyes) and validation (n = 403 eyes) datasets with chronological data splitting. Machine learning models with ResNet50 (for image analysis) and XGBoost (for integration of all variables and fundus photography)

We name our method Graph Relative Positional Encoding dedicated to graph representation learning. Experiments conducted on various molecular property prediction datasets show that the proposed method outperforms previous approaches significantly.

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