Skip to main content

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

miRNA example

License

Apache 2.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ssakg-0.2.0.tar.gz (26.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ssakg-0.2.0-cp312-cp312-macosx_15_0_arm64.whl (39.6 kB view details)

Uploaded CPython 3.12macOS 15.0+ ARM64

File details

Details for the file ssakg-0.2.0.tar.gz.

File metadata

  • Download URL: ssakg-0.2.0.tar.gz
  • Upload date:
  • Size: 26.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for ssakg-0.2.0.tar.gz
Algorithm Hash digest
SHA256 5935c40eb4633ea504a98940dce41515bfc4f6dbeb913f8fbb695fca4802bcc9
MD5 93114864902d3cd505cdd30a34d6fb1f
BLAKE2b-256 d8acd551fe7b09bf40c0c49a1d684a73bc5b1377992ce5bd2e6bdad554e4f966

See more details on using hashes here.

File details

Details for the file ssakg-0.2.0-cp312-cp312-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for ssakg-0.2.0-cp312-cp312-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 4723e58b3fbcc07f7d4f3326b9bc7f0a15697b66f32b1a6ecb91869736be07c1
MD5 1240efddf026b7b8b3f323f402fe9917
BLAKE2b-256 f97d34883c6e5da67d586d7bdf5f9c56d911f5b7fbd09fffaa08c06307c3aeeb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page