AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes a plug-and-play feature causality decomposition method for multimodal representation learning from causality perspective, which can be integrated into existing models with no affects on the original model structures.
Spatial transcriptomics (ST) enables the simultaneous measurement of high-throughput gene expression and spatial structural information, offering a powerful means to decipher tissue heterogeneity. However, current spatial domain identification methods struggle to accurately distinguish continuous biological boundaries,...
Semi-supervised learning (SSL) aims to effectively utilize a small amount of labeled data together with a large volume of unlabeled data to improve learning performance. Among various SSL strategies, label propagation has been widely adopted due to its ability to diffuse label information across data points via graph s...
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