ConceptGraph Computing
Graph Computing
A computing paradigm that abstracts processing units as graph nodes and invocation relationships as edges. It naturally supports parallel execution, conditional branching, and loop backtracking, and serves as a foundational architecture for building multi-agent collaborative systems.
Timeline (last 90 days)
Sep 12
In a graph structure, agents or processing nodes are abstracted as graph nodes (Nodes), and the invocation relationships, conditional branches, and loops between nodes are abstracted as edges (Edges), which naturally support parallel execution, conditional jumping, and loop backtracking compared to linear Chains.
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