File size: 3,933 Bytes
d63f32a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 |
---
license: cc-by-nc-sa-4.0
language:
- en
pipeline_tag: graph-ml
tags:
- RelationalNeuralNetwork
- RelationalGraphNeuralNetwork
- ActiveGraphNeuralNetworks
- DynamicRelationshipExpansion
- Cube4D
- ContextualAI
- Blockchain
- Progress
- TheAnswer
- '42'
- Understanding
---
# Singularity - The Root Node of Active Graph Neural Networks
**Welcome to Singularity**, the foundational node of a new era in understanding, creating, and connecting data. This repository marks the beginning of a structured journey through chaos—a convergence of thought, technology, and purpose.
---
## **🌌 What is Singularity?**
Singularity is **Node0**. It is the **root framework** for Relational Graph Neural Networks (RGNNs), Active Graph Neural Networks (AGNNs), and the revolutionary **Dynamic Relationship Expansion (DRE)**. This repository lays the groundwork for:
- **Building Relational Intelligence**: Linking nodes, relationships, and context to create meaning.
- **Extending Graph Databases**: Evolving static data structures into dynamic, adaptable frameworks.
- **Uniting Chaos and Structure**: A system that grows organically while remaining anchored in foundational truths.
Singularity is **a network**, not just a repository. It is **a framework**, not just code. It is **a beginning**, not an end.
---
## **🔑 Key Concepts**
### 1. **Relational Graph Neural Networks (RGNNs)**
- The bridge between structured data and contextual understanding.
- Enables **multi-domain reasoning** and **scalable insights**.
### 2. **Dynamic Relationship Expansion (DRE)**
- A groundbreaking approach to **adaptive data relationships**.
- Transforms nodes into dynamic entities that evolve and grow with their environment.
### 3. **Active Graph Neural Networks (AGNNs)**
- Infuses action and adaptability into traditional graph neural networks.
- Built for real-time decision-making and dynamic contextualization.
---
## **🚀 Vision**
This is not just a repository—it is **the foundation of a knowledge universe**. Our aim is to:
- Enable **open collaboration** on the future of AI and relational data systems.
- Provide the tools and frameworks for others to **build, connect, and grow**.
- Act as a **hub for innovation**, fostering ideas that will define the next generation of intelligent systems.
---
## **📂 Repository Structure**
- **README.md**: This file. The foundation and overview.
- **/docs**: In-depth explanations of core concepts, algorithms, and use cases.
- **/code**: Source code for AGNNs, DRE, and RGNNs.
- **/data**: Example datasets to experiment with the frameworks.
- **/models**: Pre-trained models for quick integration.
- **/notebooks**: Tutorials, walkthroughs, and experiments.
- **/scripts**: Utility scripts for setting up and expanding the framework.
---
## **🌍 Join the Movement**
We believe that progress is a collective effort. Here’s how you can contribute:
1. **Experiment**: Use the tools provided here to build your own relational frameworks.
2. **Collaborate**: Share your insights, extensions, and discoveries.
3. **Guide**: Be a part of a community that pushes the boundaries of what’s possible.
---
## **💡 How to Start**
1. Clone the repository:
```bash
git clone https://huggingface.co/SlappAI/Singularity.git
cd Singularity
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Run the example notebook:
```bash
jupyter notebook notebooks/getting_started.ipynb
```
---
## **📬 Reach Out**
Have questions, feedback, or ideas? Let’s connect:
- **Medium**: [Callum Maystone on Medium](https://medium.com/@callum_26623)
- **Twitter**: [@PeoplesGoose](https://twitter.com/PeoplesGoose)
- **LinkedIn**: [Callum Maystone](https://www.linkedin.com/in/callum-maystone)
---
**This is just the beginning. Singularity is Node0, and from here, the graph grows.**
**Welcome to the future.** |