Global Data & AI Virtual Tech Conference (GDAI 2025), the biggest virtual tech conference organized by DataGlobal Hub, was ...

The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to ...

New architecture fuses real-time transactions and analytics in one platform, with breakthrough performance and full fidelity at unprecedented scale ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Abstract: Edge perturbation is a basic method to modify graph structures. It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i.e., graph ...

The Age of AI will rely on massive volumes of data that can be easily stored and retrieved—and bioscience may have an ingenious solution. A scientist examines a DNA (deoxyribonucleic acid) profile on ...

Abstract: Due to the emergency of multi-view graph data, considerable attention is focused on the multi-view graph clustering. Although great efforts have been made in developing the multi-view graph ...

neo4j: restart: always image: spg-registry.cn-hangzhou.cr.aliyuncs.com/spg/openspg-neo4j:latest container_name: release-openspg-neo4j ports: - "8891:7474" - "8892: ...

Just raising an issue to see if its worth adding another algorithm that was recently published: Breaking the Sorting Barrier for Directed Single-Source Shortest Paths ...

At another AWS Summit, Swedish graph data pioneer Neo4j advocated for reducing generative AI hallucinations through data traceability. The platform is based on the mathematical concept of graphs, ...