Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...
A decentralized cloud security framework uses attribute-based encryption to enable fine-grained access control without centralized ...
Aiomics announces the integration of a Hybrid GraphRAG engine into its clinical platform. By anchoring artificial ...
Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.
Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...
1 Department of Computer Science, The University of Alabama at Birmingham, Birmingham, AL, United States 2 Department of Computer Science, Washington University in St. Louis, St. Louis, MO, United ...
What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...
Abstract: Protein complexes play essential roles in cellular functions, and accurate identification of these complexes is critical for understanding biological processes and disease mechanisms.
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