A path is an ordered sequence of connected nodes. Enumerating important paths reveals skipped checks, impossible states, and expensive loops before deployment.

A Path Is One Possible Execution Story

Data-flow edges specify values, provenance, and schemas exchanged between nodes. Separating them from control flow prevents a value's presence from silently authorizing execution.

Data Flow Answers What Moves

A knowledge-graph node should represent a distinguishable entity with a stable identity rule. Labels are display text; identifiers decide whether two mentions refer to the same thing.

Entity Identity Before Connectivity

In this situation—representing document retrieval followed by answer drafting—which choice best applies “Nodes Compute; Edges Relate”?

A workflow node performs or represents a bounded responsibility; an edge states how control, data, or meaning connects two nodes. Keeping these roles separate clarifies graph design.

A graph represents things as nodes and relationships as edges. It helps people see possible routes, dependencies, clusters, and loops that a plain list may hide.

Graphs Show Things and Relationships

NetworkX Developers

Canonical URL: https://networkx.org/documentation/stable/
License: BSD 3-Clause
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NetworkX Documentation — Graph Engineering Course Source

Pat Morin

Canonical URL: https://opendatastructures.org/
License: CC BY 2.5 CA
Restrictions: Credit Pat Morin and the Open Data Structures Project, state that the product contains ODS code or text (or link to opendatastructures.org), link the CC BY 2.5 CA license, and identify adaptations.

Open Data Structures — Graph Engineering Course Source

A directed edge A→B says B may follow or depend on A; it does not imply the reverse. Direction can represent control, data, causality claims, or prerequisites, so its meaning must be labeled.

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