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Found 4 papers, 1 papers with code
Improved AutoEncoder with LSTM module and KL divergence
The task of anomaly detection is to separate anomalous data from normal data in the dataset.
Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model
With fewer feature dimensions, filter banks are often used in light-weight full-band speech enhancement models.
Analyzing Learned Molecular Representations for Property Prediction
In addition, we introduce a graph convolutional model that consistently matches or outperforms models using fixed molecular descriptors as well as previous graph neural architectures on both public and proprietary datasets.
Ranked #3 on
Molecular Property Prediction
on QM9
Chemi-net: a graph convolutional network for accurate drug property prediction
Absorption, distribution, metabolism, and excretion (ADME) studies are critical for drug discovery.
