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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

  • Minimum Python Version: 3.10

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

Requirements

  • Minimum Python Version: 3.10

License

Apache 2.0

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