Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug ...
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 ...
Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
The AI-driven fund has seen higher annual returns across a 10-year period compared with an industry benchmark, per the firm.
Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
The No. 17 USC Trojans are in the final stretch of the season with three critical games left. Since USC vs. Iowa matchup will air on Big Ten Network, it leaves USC vs. Oregon to have a national ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...
Palo Alto Networks Inc.‘s announcement Tuesday of its intent to acquire CyberArk for $25 billion implies a heavy price tag, as its shares fell on the news. But I believe it to be a good, long-term ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback