Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

At this point it should be obvious that simply applying a basic graph traversal algorithm like Dijkstra’s would be too simplistic, so what do services like Google Maps and others use?

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

This is how marketers are taking advantage of customer data to build predictive algorithms, and even tailor their products and offerings.

By applying a well-known graph algorithm to the XRP ledger data, we look at the top 10 XRP accounts by page rank over the past years.

Using the compute capabilities of Microsoft Azure Machine Learning, AstraZeneca's engineers then uses the knowledge graph to train an algorithm that recommends new drug targets to scientists.