Abstract: Exploring drug-target binding affinity (DTA) is essential for drug discovery. Numerous works rely on the one-dimensional SMILES representation of drugs for predicting drug-target affinity, ...
Finding a single stock to buy and hold isn't an easy task. The stock needs to cover a wide range of outcomes, and failure isn ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
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