Their graph analytics framework starts with dozens of common algorithms that can be extended to build complex summaries of the underlying data. They support both property graphs and RDF-style graphs.

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.

Graphs are excellent tools to visualize relations between people, objects, and concepts. Beyond visualizing information, however, graphs can also be good sources of data to train machine learning ...

When knowledge graphs are thought about this way, it becomes clear why a knowledge graph is so important for AI. Google isn’t the only company using a knowledge graph for AI. If you’ve interacted with ...

The graph above is for an object which is thrown vertically upwards with an initial velocity of 20 m/s. In the time period 0-2 seconds – the object decelerates from 20 m/s to 0 m/s.

When graphs and GenAI team up, learning becomes way more powerful. Here’s how: Personalised learning paths: Instead of everyone following the same textbook, your learning follows you. The AI looks at ...

If your graph is too cluttered or provides too much information, then it’s going to confuse the reader. Our school children did a good job of following this important rule.

As the COVID-19 pandemic grips the world, Canadians have been presented with a profusion of statistics, graphs and other data visualizations about the number of cases, deaths and spread of the disease ...

Kaiasm Chief Scientist Liam McGee explains how knowledge graphs can create a Rosetta Stone to keep different groups on the same page to #acceleratetrust. This has important implications for all ...