Graph database fave also punts for transactional workloads Neo4j has introduced "property sharding" which, according to one ...

Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...

Soo Kim announced on the 8th of September that the team has developed a new DB system named 'Chimera' that fully integrates ...

Abstract: Recently, the emerging False Data Injection Attacks (FDIAs), one of the major cybersecurity threats, have been severely threatening smart grids, since FDIAs could bypass conventional bad ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

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 ...

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 ...

JACKSON HOLE, Wyo. — U.S. Senator Tim Scott, the chairman of the Senate Banking Committee, anticipates up to 18 Democrats may vote in favor of the Senate's answer to the Digital Asset Market Clarity ...