Round of 32 Challenge: The Rule of 32 - July 2–8, 2026
1. Complete the Graph Data Science Learning Path
Before you can participate in the Round of 32 Challenge, complete the following GraphAcademy learning path:
Graph Data Science
Required courses:
Get Started with Graph Data Science- Path Finding with GDS
The Neo4j Graph Data Science Certification is optional and is not required for this challenge.
GraphAcademy Learning Paths2. Build a Small Project
Using what you learned in the Graph Data Science learning path, build a small Neo4j project that demonstrates one or more concepts from the courses.
The Rule of 32
To keep the challenge fun and accessible, your project must follow these limits:
- Maximum 32 nodes
- Maximum 32 relationships
- A project description between 32–320 words
Your project can use:
- A GraphAcademy dataset
- A Neo4j sample dataset
- Your own dataset
- A dataset you create yourself
The goal isn't to build something large—it's to showcase what you learned in a creative way.
Example Submission
I completed the Graph Data Science learning path and built a small social network graph to explore how people are connected. My graph contains 18 nodes and 27 relationships. Using techniques from the learning path, I explored how connections between people could reveal useful insights for recommending new friends or identifying highly connected individuals. This project helped me better understand how graph data can uncover relationships that are difficult to see in traditional tables.
Prize Eligibility
To qualify for the Round of 32:
- Complete the required Graph Data Science learning path.
- Submit an original project built for this challenge.
- Include your public GraphAcademy profile.
- Follow the Rule of 32 project limits.
- Previous submissions may not be resubmitted.
GraphAcademy Cup Submission
Topic Title Format
Round of 32: Project Name – Country
GraphAcademy Cup Team Profile Link
Paste the URL to your country team page.
Team Profile Link:
GraphAcademy Public Profile Username
Public Profile Username:
Anonymous GraphAcademy profiles are not eligible for weekly LEGO prizes.
Country
Country:
Learning Path Completed
Learning Path:
Graph Data Science
Project Name
Project Name:
Project Description
Tell us what you built and how it demonstrates what you learned from the Graph Data Science learning path.
Project Description (32–320 words):
Screenshots
Upload 1–3 screenshots of your graph or project.
Repository / Demo Link (Optional)
GitHub / Demo URL (Optional):
Additional Notes (Optional)
Anything else you'd like the community to know?
Additional Notes:
Submission Checklist
Before submitting, confirm that:
- ☐ I completed the Graph Data Science learning path.
- ☐ I am participating in the GraphAcademy Cup.
- ☐ I included my Team Profile Link.
- ☐ I included my GraphAcademy Public Profile Username.
- ☐ My GraphAcademy profile is public and eligible for prize verification.
- ☐ My project contains 32 nodes or fewer.
- ☐ My project contains 32 relationships or fewer.
- ☐ I included 1–3 screenshots.
- ☐ My project description is 32–320 words.
Contest Reminder
One LEGO prize winner will be selected from the Round of 32 submissions based on creativity, application of Graph Data Science concepts, and overall presentation.
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GraphAcademy Cup
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FAQ
GraphAcademy Cup
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