A new imaging-enabled knowledge graph, CardioKG, uses AI to integrate cardiac structure and function with molecular data, ...

In conclusion, CardioKG is a powerful new tool that combines heart images with genetic and medical data to discover new ways ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

Neo4j, a leading graph intelligence platform, is releasing Neo4j Fleet Manager—a unified control plane for managing and monitoring graph databases across any environment including cloud, hybrid, and ...

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 ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...

Many US government agencies and organizations are involved in countering weapons of mass destruction (CWMD). While overall goals and specific mission objectives vary, the US government typically ...

Abstract: Cross-domain recommendation (CDR) has received attention to solve the cold-start and data sparsity problems. Existing methods mainly focus on the information about overlapping users or items ...

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 ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...