Sequential Structural Associative Knowledge Graph (ssakg)
Project description
SSAKG
Sequential Structural Associative Knowledge Graph (SSAKG) is a semantic memory. It can memorize sequences and then read them using a context. The context contains random sequence elements. The elements of the context are not ordered.
Requirements
- Python Version: 3.10-3.12
Installation
Use the package manager pip to install ssakg.
pip install ssakg
Usage
from ssakg import SSAKG
# This basic example creates very simple ssakg, and stores two sequences.
# The program shows how sequences are stored in Associative Knowledge Graph.
ssakg = SSAKG(number_of_symbols=10, sequence_length=3, graphs_to_drawing=True)
ssakg.insert([1, 2, 3])
ssakg.insert([2, 4, 5])
ssakg.show()
Examples
Examples of the use of the program:
Basics
Reading sequences
SSAKG memory
License
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