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Druva Introduces MetaGraph to Advance Agentic Data Security

Druva has announced Dru MetaGraph, a secure, tenant-specific, graph-powered metadata layer to power real-time data ...
Opinion
Database Trends and ApplicationsOpinion

Druva Releases Dru MetaGraph to Power Agentic Data Security

Druva, a leading provider of data security, is introducing Dru MetaGraph, a secure, tenant-specific, graph-powered foundation for real-time data intelligence, along with the release of two new DruAI ...
GitHub

Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network

The inference of cell-cell communication (CCC) is crucial for a better understanding of complex cellular behavior and regulatory mechanisms in biological systems. However, current computational ...
IEEE

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness

Abstract: Graph Neural Networks (GNNs) are used for graph data processing across various domains. Centralized training of GNNs often faces challenges due to privacy and regulatory issues, making ...
ahajournals.org

RYR2 Variants in Catecholaminergic Polymorphic Ventricular Tachycardia Patients: Insights From Protein Structure and Clinical Data

Catecholaminergic polymorphic ventricular tachycardia (CPVT) is a rare inherited arrhythmia, with pathogenic variants in the RYR2 gene responsible for 60% of clinically well-defined CPVT cases.
IEEE

Forgetting and Remembering Are Both You Need: Balanced Graph Structure Unlearning

Abstract: In light of the growing emphasis on the right to be forgotten of graph data, machine unlearning has been extended to unlearn the graph structures’ knowledge from graph neural networks (GNNs) ...