ssakg
Sequential Structural Associative Knowledge Graph (SSAKG)
Science Score: 67.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: sciencedirect.com -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.3%) to scientific vocabulary
Repository
Sequential Structural Associative Knowledge Graph (SSAKG)
Basic Info
- Host: GitHub
- Owner: PrzemyslawStok
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 2.6 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
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.
bash
pip install ssakg
Usage
```python 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(numberofsymbols=10, sequencelength=3, graphsto_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
Cite
If you use SSAKG in scientific publication, we would appreciate citation of the following paper:
bibtex
@article{STOKLOSA2025108865,
title = {Associative knowledge graphs for efficient sequence storage and retrieval},
journal = {Computer Methods and Programs in Biomedicine},
volume = {269},
pages = {108865},
year = {2025},
issn = {0169-2607},
doi = {https://doi.org/10.1016/j.cmpb.2025.108865},
url = {https://www.sciencedirect.com/science/article/pii/S0169260725002822},
author = {Przemysław Stokłosa and Janusz A. Starzyk and Paweł Raif and Adrian Horzyk and Marcin Kowalik},
}
License
Owner
- Name: PrzemyslawStok
- Login: PrzemyslawStok
- Kind: user
- Repositories: 6
- Profile: https://github.com/PrzemyslawStok
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Stokłosa" given-names: "Przemysław" - family-names: "Starzyk" given-names: "Janusz A." - family-names: "Raif" given-names: "Paweł" - family-names: "Horzyk" given-names: "Adrian" - family-names: "Kowalik" given-names: "Marcin" title: "SSAKG" version: 0.2.0 doi: 10.48550/arXiv.2411.14480 date-released: 2024-11-25 url: "https://github.com/PrzemyslawStok/ssakg"
GitHub Events
Total
- Push event: 12
- Public event: 1
- Create event: 1
Last Year
- Push event: 12
- Public event: 1
- Create event: 1
Packages
- Total packages: 1
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Total downloads:
- pypi 12 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
pypi.org: ssakg
Sequential Structural Associative Knowledge Graph (ssakg)
- Homepage: https://github.com/PrzemyslawStok/ssakg
- Documentation: https://ssakg.readthedocs.io/
- License: Apache 2.0
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Latest release: 0.2.0
published about 1 year ago