ruvector-gnn-wasm
CommunityWebAssembly GNN inference
Authorricable
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables efficient Graph Neural Network (GNN) inference directly within web browsers and on edge devices, eliminating the need for server-side computation and reducing latency.
Core Features & Use Cases
- Browser-Native GNNs: Run GNN models like GraphConv, GATLayer, SAGEConv, and GINConv directly in the browser using WebAssembly.
- Edge Deployment: Deploy GNN models to edge devices for real-time inference without server dependencies.
- Use Case: Integrate client-side knowledge graph embeddings into a web application or build a real-time recommendation system on an edge device using graph data.
Quick Start
Install the @ruvector/gnn-wasm package using npm.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ruvector-gnn-wasm Download link: https://github.com/ricable/cli-skills-builder/archive/main.zip#ruvector-gnn-wasm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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