genpark-node2vec-biased-random-walk-embedding-skill
Node2Vec 2nd-order biased random walk generator with return (p) and in-out (q) hyperparameters
Details
- External ID
- 1392516025
- Source
- GITHUB
- Company
- —
- Product
- genpark-node2vec-biased-random-walk-embedding-skill
- Website domain
- github.com
- Launched
- Sept. 28, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.05976172175249808
- Tags
- agent-skills, feature-extraction, graph-embedding, graph-mining, graph-representation-learning, mcp, network-science, node2vec, python-standard-library, random-walk, skip-gram
- Fetched at
- Sept. 30, 2026, 1:02 a.m.
- Updated at
- Sept. 30, 2026, 1:02 a.m.
Enrichment
- Theme
- low-level systems and developer tools
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- biased random walk generator for graph embeddings
- Manually corrected
- False
Could you build this?
Yes Node2Vec biased random walk generation with p and q parameters is a well-established graph sampling algorithm that can be completely generated and packaged as an MCP skill in hours.
Competitors
Other products that read as similar to this one — 578 launches clear the similarity bar, closest 8 shown.
Attention rank: #352 of 579 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 332 days after the earliest competitor.
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Other launches for this product
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.