Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

The search for those higher-dimensional structures is where the math turns especially murky — and interesting. The higher-order analogue of a graph, for example, is called a hypergraph, and instead of ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

Graphs naturally generalize unstructured vectorial data and structured data such as time series, images or bags of entities. The goal of this course is to provide an overview of the fundamental ...

For example, by capturing and expressing the meaning of relationships pertaining to our data points, we can automate insights, and extract new knowledge.

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very effective in summarizing complex patterns and information. Past psychology ...

The Graph introduces GRC-20, a Web3 data standard redefining how decentralized applications structure and share data.