Subnet 43
Graphite
Graphite AI
Graphite is a specialized subnet designed to handle graphical problems efficiently
SN43:Graphite
| Subnet | Description | Category | Company |
|---|---|---|---|
| SN43:Graphite | Graph optimization | DeSci | Graphite |
Graphite is a specialized subnet focused on efficiently solving graphical problems, with a particular emphasis on the Traveling Salesman Problem (TSP) which has been haunting computer scientists for decades. TSP is a classic optimization challenge that seeks the shortest route through a set of cities, returning to the starting point, and grows exponentially more complex with additional cities.
Bittensor enhances Graphite’s capabilities by providing a decentralized machine learning network. This integration connects miners to manage the computational demands of TSP and similar problems, allowing Graphite to offer a powerful and scalable solution for tackling complex optimization issues.
At Graphite AI, they are committed to making their solutions accessible, innovative, and responsive to user feedback.
Accessibility: They focus on ensuring their tools are easy to use for everyone, with intuitive interfaces, comprehensive documentation, and step-by-step guides. Their support team is dedicated to helping users of all technical backgrounds, offering assistance in various formats.
Innovation: They are dedicated to advancing technology with cutting-edge solutions for graphical problems. Their R&D team explores new possibilities and integrates the latest advancements, fostering collaboration with the user community to drive progress. User ideas and feedback play a crucial role in their development process.
Communication: They actively listen to their users and miners, gathering insights through surveys, polls, community forums, and customer support. This feedback helps them enhance features, resolve issues, and improve the overall user experience, making their tools accessible to both developers and non-developers.
These values guide Graphite AI in delivering exceptional solutions and building an inclusive and innovative community.
Graphite operates as a decentralized network connecting miners and validators to tackle graph optimization problems. Validators generate synthetic requests and send them to miners, who then use their algorithms to solve the Traveling Salesman Problem (TSP) and return their solutions for evaluation.
Features
Versatile Input Methods
They support both coordinate inputs for undirected graphs and edge inputs for directed graphs, giving users flexibility in representing their graphical problems.
Algorithm Support
To assist miners, they offer four pre-implemented algorithms for solving the TSP, reducing the complexity of starting out on Graphite:
- Nearest Neighbour: A heuristic that builds a tour by visiting the nearest unvisited city.
- Dynamic Programming: An exact method that breaks the problem into smaller subproblems for an optimal solution.
- Beam Search: A heuristic search algorithm expanding the most promising nodes.
- Hybrid Pointer Network: A deep learning approach combining neural networks with traditional optimization techniques.
Experienced developers and miners are encouraged to contribute their own algorithms and solvers, with rewards for those that outperform existing solutions.
Reward Mechanism
Miners are rewarded for effectively solving graph optimization problems. Rewards are based on solution quality, with evaluations comparing performance to benchmarks. Validators assess and penalize solutions that do not meet performance standards.
Installation
Graphite ensures a seamless installation process for all users, with detailed guides and tutorials:
Basic Installation Guide: [Installation Guide]
For Miners: [Miner Installation Guide]
For Validators: [Validator Installation Guide]
Awaiting Details