Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

How does a DAG work? As mentioned, a directed acyclic graph is more efficient at data storage. Its structure is tree-like, with interconnected nodes as its ‘branches.’ ...

Graphs -- data structures that show the relationship among objects -- are highly versatile. It's easy to imagine a graph depicting a social media network's web of connections.

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 ...

Monocle 2 uses reversed graph embedding to automatically learn complex, branched pseudotime trajectories of differentiation or cellular state changes from single-cell expression data. Monocle 2 ...

moleculaRnetworks contains novel analysis algorithms and techniques unavailable elsewhere. These include graph theory-based analyses of network structure, including clustering of solvent molecules ...