Edutopia

The Power of Slow Reveal Graphs

One powerful way to do this is through a routine called slow reveal graphs.

Graph Neural Networks and GraphRAG: Navigating Open-World Complexity in Finance

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...
THE Journal

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 ...
ADTmag

Java 25: Oracle’s Big-Tent Release—and a Clearer Roadmap for What’s Next

JDK 25 is an LTS release, the second on Oracle’s new two-year LTS cadence (after 21), and it lands with meaningful language ...
IEEE

Reinforcement Learning with Hierarchical Graph Structure for Flexible Job Shop Scheduling

Abstract: The flexible job shop scheduling problem (FJSP) is a NP-hard combinatorial optimization challenge, having extensive real-world industrial applications. For a given instance of FJSP, a ...
The Guardian Nigeria

Nigeria, Team Europe chart new course for data exchange

Nigeria has taken a bold step to strengthen its national Digital Public Infrastructure (DPI) with the launch of a technical roundtable on the Nigeria Data Exchange Platform (NGDX). Convened by the ...
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 ...