genpark-graph-convolutional-network-gcn-layer-skill
Spectral Graph Convolutional Network (GCN) layer with self-loop renormalization and forward propagation
Details
- External ID
- 1392517007
- Source
- GITHUB
- Company
- —
- Product
- genpark-graph-convolutional-network-gcn-layer-skill
- Website domain
- github.com
- Launched
- Sept. 28, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.05976172175249808
- Tags
- adjacency-normalization, agent-skills, deep-learning, gcn, graph-convolutional-network, graph-neural-networks, mcp, message-passing, node-classification, python-standard-library, spectral-graph-theory
- Fetched at
- Sept. 30, 2026, 1:02 a.m.
- Updated at
- Sept. 30, 2026, 1:02 a.m.
Enrichment
- Theme
- scientific computing and research algorithms
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- graph convolutional network layer implementation for ml developers
- Manually corrected
- False
Could you build this?
Yes A spectral Graph Convolutional Network layer using standard renormalized adjacency matrix multiplication is a short, standard PyTorch/NumPy implementation readily produced by LLMs.
Competitors
Other products that read as similar to this one — 772 launches clear the similarity bar, closest 8 shown.
Attention rank: #600 of 773 (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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- Deep learning without gradient descent, 500 layers, no skip connections · hn · 2026-01-07 · 5 upvotes · similarity 0.56
- genpark-dense-feedforward-mlp-backprop-skill · github · 2026-09-28 · 7 upvotes · similarity 0.54
- genpark-dense-feedforward-mlp-backprop-skill · github · 2026-09-28 · 7 upvotes · similarity 0.54
- genpark-l2-gradient-clipping-norm-skill · github · 2026-09-10 · 7 upvotes · similarity 0.53
- GitHub · hn · 2026-01-16 · 6 upvotes · similarity 0.51
Other launches for this product
- No other launches for this product.
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