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🌐 Bringing Graph Theory Learning to Life: Interactive Platform

Link: https://learngraphtheory.org/

Graph theory is a beautiful blend of logic, creativity, and real-world influence. This project aims to transform the way we learn, visualize, and explore graph concepts—moving beyond static textbooks and code into an engaging, hands-on experience.


✨ Inspiration

What sparked this project?

  • 🔎 Lack of Intuitive Experimentation: Most resources only teach theory—they don’t let you build, tweak, or visualize graphs in real time.
  • 🎬 Opaque Algorithms: Watching algorithms like BFS, Dijkstra’s, or network flow animate step-by-step turns confusion into “aha!” moments.

🚀 Platform Features

1. 🖱️ Interactive Graph Workspace

Build, edit, and play with graphs visually:

  • Double-click to add nodes, drag them anywhere.
  • Shift-click to connect nodes with edges.
  • Right-click to edit edge weights and directions.

Say goodbye to messy paper diagrams and tedious code!


2. 🧮 Deep-Dive Into Algorithms

A growing library with stepwise-animated algorithms:

Category Algorithms
Graph Traversal Breadth-First Search, Depth-First Search, Topological Sort, Eulerian Path/Circuit
Shortest Paths Dijkstra, Bellman-Ford, Floyd-Warshall
Minimum Spanning Trees Prim’s, Kruskal’s, Borůvka’s
Connectivity & Components Tarjan’s SCC, Cycle Detection
Network Flow Ford-Fulkerson, Minimum Cut
Special Challenges Hamiltonian Path, Graph Coloring

Each algorithm includes:

  • Concise use-case explanations
  • Complexity breakdowns
  • Step-by-step animations (rewind/fast-forward at your pace)
  • Smart prompts (e.g. start node selection)

3. 📚 Structured Learning Path

Not just a sandbox—this is a guided, progressive course!

  • Lessons grouped by difficulty, with estimated durations and clear syllabi
  • Practice Mode: Cement understanding right after learning
  • Progress tracking: Always know your next step

4. 🧮 Immediate Graph Analysis

Stay informed as you build:

  • Real-time stats: Node/edge count, density
  • Properties: Check for connectivity, cycles, bipartiteness
  • Advanced metrics: Components, diameter, avg. degree
  • Random graph generator & instant presets (complete, cycle, tree, bipartite)

5. 🌈 Visual & Accessibility Touches

Designed for use, not just display:

  • Zoom/auto-fit controls for big graphs
  • Import/export your work or share with others
  • Overlay toggles for visualizing node/edge details

💡 Why This Matters

Graph theory powers social networks, logistics, compilers, bioinformatics, and beyond. This platform is built for:

  • 🎓 Students: Visual, stepwise understanding
  • 🧑‍🏫 Teachers: Demonstrate dynamically in class
  • 🕵️ Self-learners: No more setup headaches—just experiment

🚧 What’s Next?

On the roadmap:

  • Launching comprehensive PDF courses
  • Expanding to advanced topics—spectral graph theory, dynamic algorithms
  • Collab mode and new accessibility features

If hands-on, visual graph theory excites you—or you want to help build the future of interactive learning—reach out! Feedback, feature requests, and collaborators are welcome.

Let's make learning graphs as interconnected and vibrant as the subject itself.

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