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Found 3 papers, 1 papers with code
Self-consistent Validation for Machine Learning Electronic Structure
Machine learning has emerged as a significant approach to efficiently tackle electronic structure problems.
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
This work provides a novel theoretical perspective for addressing the problem of imbalanced node classification in GNNs.
PDAML: A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition
Usually, the DA methods give relatively promising results than the DG methods but require additional computation resources each time a new subject comes.
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