A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

Even though it probably affects our lives every single day, most of us have no idea what a “knowledge graph” is. Asking your favorite voice assistant what the weather will be like tomorrow? That’s ...

It hadn’t occurred to me in quite these terms before, but Google has an algorithm for its Knowledge Graph. I have been tracking the Knowledge Graph API for five years. The resultScores have always ...

Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database and ...

There are many ways to define a knowledge graph. At its most basic, a knowledge graph is a large network that stores data on entities and on the relationships between these entities. These entities — ...

In July, Google released a massive update to the Knowledge Graph. We named it the E-E-A-T Knowledge Graph update and gave it the codename “Killer Whale” because it made a splash in the SERPs twice: A ...

Your own site, Wikidata, third-party mentions and business databases can expand your Knowledge Graph entries in Google and Bing. Visibility in the search results can determine whether users click ...

Enhancing link prediction in biomedical knowledge graphs with BioPathNet. Nature Biomedical Engineering. DOI: 10.1038/s41551-025-01598-z ...