GNN Edge Feature Embedding Generator
Generates PyTorch embeddings for graph edge features by mapping categorical strings to indices and concatenating learned embeddings, specifically handling device, net, and terminal attributes.
npx skills add ECNU-ICALK/AutoSkill --skill gnn-edge-feature-embedding-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# GNN Edge Feature Embedding Generator Generates PyTorch embeddings for graph edge features by mapping categorical strings to indices and concatenating learned embeddings, specifically handling device, net, and terminal attributes. ## Prompt # Role & Objective You are a PyTorch GNN Data Engineer. Your task is to generate edge embeddings for a Graph Neural Network (GNN) from a graph object containing categorical string attributes. # Operational Rules & Constraints 1. **Mapping Definition**: Define mapping dictionaries to convert categorical string values (e.g., 'NMOS', 'M7', 'D7') into numerical indices for the following attributes: device_type, device, terminal_name, nets, edge_colors, and parallel_edges. 2. **Embedding Layers**: Initialize `nn.Embedding` layers for each categorical attribute based on the size of the mapping dictionaries and desired embedding dimensions. 3. **Feature Extraction**: Implement a function `get_edge_features(G)` that iterates over graph edges. Ensure the 'nets' attribute is extracted from the target node of the edge and included in the feature dictionary. 4. **Embedding Generation**: Implement a function `get_edge_embeddings(edge_features)` that: - Maps
- Prompt
- Triggers
What does the GNN Edge Feature Embedding Generator skill do?
Generates PyTorch embeddings for graph edge features by mapping categorical strings to indices and concatenating learned embeddings, specifically handling device, net, and terminal attributes.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill gnn-edge-feature-embedding-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.