node2vec
Python implementation of node2vec: scalable feature learning for networks with biased random walks and skip-gram.
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GITHUB · launched Nov 5, 2026 · 50 upvotes (top 63%) · 0 views
Niche: specialized algorithms and computing libraries · 230 launches, 4 in the last 7 days ▼ -73% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI feature
- Hobby / open-source project
- gensim
- graph-embeddings
- machine-learning
- networkx
- node2vec
- python
Visit website ↗ Source listing ↗
More like this: all 230 launches in specialized algorithms and computing libraries →
Could you build this?
Yes node2vec is a published algorithm (biased random walks plus skip-gram), and existing open libraries show the approach is straightforward to reimplement with standard Python tooling.
Competitors
Other products that read as similar to this one : 1709 launches clear the similarity bar, closest 8 shown.
Attention rank: #1027 of 1710 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 372 days after the earliest competitor.
- genpark-node2vec-biased-random-walk-embedding-skill · github · 2026-09-28 · 7 upvotes · similarity 0.69
- ephris · github · 2026-10-01 · 11 upvotes · similarity 0.62
- A walkable 3D tour of a feedforward neural net · hn · 2026-08-13 · 5 upvotes · similarity 0.56
- DiscoveryRSI · github · 2026-10-15 · 48 upvotes · similarity 0.54
- PrunedCTC · github · 2026-09-27 · 40 upvotes · similarity 0.54
- Deep learning without gradient descent, 500 layers, no skip connections · hn · 2026-01-07 · 5 upvotes · similarity 0.53
- GitHub · hn · 2026-01-16 · 6 upvotes · similarity 0.53
- DeepSelect · github · 2026-09-09 · 327 upvotes · similarity 0.53
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