gnn
CommunityLeverage graph neural networks for complex graph analysis.
Data & Analytics#graph neural networks#graph analysis#molecular analysis#recommendation systems#social networks
Authorhung-phan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
GNN (Graph Neural Networks) skills provide the solution to handle tasks involving complex relationships, where understanding the connections between data points is crucial, such as in social networks, molecular interactions, or recommendation systems.
Core Features & Use Cases
- Node, Edge, and Graph Classification: Identify and classify nodes, edges, or entire graphs based on their characteristics.
- Relation Reasoning: Extract and utilize the rich relational information inherent in graph-structured data.
- Use Case: Imagine you have a large social network dataset with user profiles and friendship connections. Use this Skill to identify influential nodes in the network or predict potential links between users.
Quick Start
Use the GNN skill to analyze the influence of each node in the given social network graph 'social_network.graph'.
Dependency Matrix
Required Modules
pygtorch_geometric
Components
scriptsreferences
💻 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: gnn Download link: https://github.com/hung-phan/ml-skills/archive/main.zip#gnn Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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