Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Waterfall Network is a layer-1 protocol that implements a Directed Acyclic Graph (DAG) as its foundational ledger. A DAG is a ...

Analyzing large, multivariate graphs is an important problem in many domains, yet such graphs are challenging to visualize. In this paper, we introduce a novel, scalable, tree-table multivariate graph ...

MCP Agent Graph (MAG) is an agent development framework for rapidly building agent systems. This project is based on graphs, nodes, and MCP to quickly construct complex Agent systems. - keta1930/mc ...

pyiron_workflow is a framework for constructing workflows as computational graphs from simple python functions. Its objective is to make it as easy as possible to create reliable, reusable, and ...

To improve the situation, google researchers created python_graph as it doesn’t need any other source; hence it is also free from its disadvantages. Control flow graphs are the graphs that show the ...