The Knowledge Graph

When you link notes together with [[wikilinks]], you’re building a knowledge graph - a web of connected ideas that grows more valuable as you add to it.

Links Create Structure

Every [[link]] you write creates a connection:

# Machine Learning

Machine learning is a subset of [[Artificial Intelligence]] that
focuses on learning from [[Data]] rather than explicit programming.

Key concepts:
- [[Neural Networks]]
- [[Training Data]]
- [[Overfitting]]

These links define relationships. Over time, clusters of related notes emerge naturally.

Why Links Matter

Links do three things:

1. Navigation - Move between related ideas quickly
2. Discovery - Find notes you forgot about through connections
3. Context - See how ideas relate to each other

Backlinks

Every link goes both ways. When Note A links to Note B, Note B knows about it. This creates “backlinks” - a list of everything that references a note.

You didn’t have to create those connections manually. They emerge from your natural writing.

Links vs Folders

Folders	Links
One location per note	Many connections per note
Hierarchy	Network
Exclusive categories	Overlapping relationships
Decided upfront	Emerges naturally

You can use both. Folders organize files; links organize ideas.

Building Your Graph

Start small:

• Link when you think of a connection
• Don’t force links that don’t feel natural
• Review notes occasionally and add links you missed

Let structure emerge:

• Clusters of densely-linked notes appear over time
• Hub notes (like Index) help navigation
• You’ll notice patterns in how you think

See Also

• Wikilinks - Link syntax reference
• Block References - Linking to specific paragraphs
• Zettelkasten - A link-centric approach
• Search & Discovery - Finding content in your graph