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Hi there πŸ‘‹ I'm @CodeGraphTheory.

I am an educational resource creator focused on Graph Computing, Compiler Design, and Knowledge Representation. My work bridges the gap between theoretical computer science and practical software engineering, with a special emphasis on:

  • Graph Theory & Algorithms
  • Graph Databases & Cypher Querying
  • Graph RAG & Neural Networks
  • Compiler Optimization & IR
  • Knowledge Graph Architecture

I build tools, write guides, and foster community around these transformative technologies.

If you'd like to support my work, give me a follow.

Follow @codegraphtheory

Publications

Repo Name Description Topics Read
brief-intro-graph-databases Fulltext of "A Brief Introduction to Graph Databases" gitbook. Get familiar with graph databases here! graph-databases cypher neo4j documentation jekyll github-pages education read

Projects

Repo Name Description Topics Star
english-words-knowledge-graph Knowledge graph of the English language between 1800 and 2019 using open source data, Python 3, and ffmpeg knowledge-graph english-language data-visualization python graph-database linguistics GitHub stars
graphtech.dev Homepage for the Graph Technology Developers community website graph-technology developer-community community resources GitHub stars

Gists

Gist Name Description Topics Star
Instruction Set Architecture Expression to Intermediate Representation to Abstract Syntax Tree to Instruction Set with an ISA compilers ir ast isa instruction-set code-generation Star
Understanding Polynomial Time Understanding Polynomial Time - P, NP, NP-complete, and NP-hard problems complexity-theory p-vs-np algorithms computer-science computational-complexity Star
Definition of Local Value Numbering (LVN) Local Value Numbering - compiler optimization technique for redundant expression elimination compilers optimization value-numbering code-optimization ssa Star
Designing Future Compilers An exploration of the need for a new approach to compiler design, discussing current limitations and proposing future directions compilers programming-languages software-engineering future-of-compilation Star
GEO with Grok for Growth on X A framework detailing strategies for leveraging Generative Engine Optimization (GEO) to achieve exponential growth on the X platform generative-ai growth-hacking digital-marketing seo grok Star
Beginner's Guide to Gradient Descent Educational content on graph computing and related topics graph-computing education Star

Developer Community

This profile is run by @graphtheory, creator of Graph Technology Developers, a developer community on GitHub and X.

πŸ”— Graph Technology Developers

Building the graph tech community, one query at a time.

Join developers working with graph databases, knowledge graphs, and graph neural networks. Share Cypher queries, GQL schemas, RDF/SPARQL patterns, and real-world modeling examples. Get feedback, collaborate on datasets, and learn together.