@ruvector/gnn

What problem does it solve?

This Skill simplifies the development and deployment of Graph Neural Networks (GNNs) within Node.js environments, enabling complex graph-based machine learning tasks without requiring deep expertise in Python ML frameworks.

Core Features & Use Cases

• GNN Pipeline Construction: Easily define and compose GNN layers like GraphConv and GATLayer.
• Node Classification & Link Prediction: Perform standard GNN tasks for tasks like identifying node categories or predicting relationships.
• Graph Embedding: Generate vector representations of nodes or entire graphs for downstream tasks, including integration into AI agent pipelines.
• Use Case: Integrate GNNs into your Node.js backend to analyze social network connections, recommend products based on user-item interaction graphs, or optimize resource allocation in complex systems.

Quick Start

Install the @ruvector/gnn package and create a new GNN instance with GraphConv and GATLayer.