CoNexDat/LaNet-vi
View on GitHubHigh-performance network visualization using k-core decomposition. Reveals hierarchical structure from peripheral nodes to dense cores in networks with millions of nodes. Python package with CLI and API.
- Stars
- 8
- Forks
- 0
- Open beginner issues
- 0
- Indexed issues
- 9
- Avg merge
- 6h 10m
- Merged PRs (30d)
- 16
- Dominant language
- Python
- License
- MIT
- Last GitHub push
- Sep 13, 2026
- Latest indexed
- Sep 15, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
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- No beginner labels indexed
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enhancement
CoNexDat/LaNet-vi#11 · 0 comments · 0 reactions · 0 assignees ·
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documentation
CoNexDat/LaNet-vi#12 · 0 comments · 0 reactions · 0 assignees ·
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CoNexDat/LaNet-vi#18 · 0 comments · 0 reactions · 0 assignees ·
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Weighted k-cores: missing peeling step, index offset, granularity cap, NaN weights on 2-column files Open
CoNexDat/LaNet-vi#20 · 0 comments · 0 reactions · 0 assignees ·
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CoNexDat/LaNet-vi#21 · 1 comment · 0 reactions · 0 assignees ·
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CoNexDat/LaNet-vi#23 · 1 comment · 0 reactions · 0 assignees ·
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CoNexDat/LaNet-vi#24 · 1 comment · 0 reactions · 0 assignees ·
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CoNexDat/LaNet-vi#25 · 0 comments · 0 reactions · 0 assignees ·
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Community detection and generators are replacements, not ports; fix the 5.0.0 changelog wording Open
CoNexDat/LaNet-vi#26 · 0 comments · 0 reactions · 0 assignees ·