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knowledge_graphs

Knowledge graphs represent structured information as entities and relations in a graph format. TorchDrug provides comprehensive support for knowledge graph completion (link prediction) using embedding-based models and neural reasoning…

  • Skills
  • Scientific
  • 2

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/knowledge-graphs && curl -fsSL https://doutorai.pt/data/lib/skills__knowledge-graphs.md -o .claude/skills/knowledge-graphs/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Knowledge Graph Reasoning

## Overview

Knowledge graphs represent structured information as entities and relations in a graph format. TorchDrug provides comprehensive support for knowledge graph completion (link prediction) using embedding-based models and neural reasoning approaches.

## Available Datasets

### General Knowledge Graphs

**FB15k (Freebase subset):**
- 14,951 entities
- 1,345 relation types
- 592,213 triples
- General world knowledge from Freebase

**FB15k-237:**
- 14,541 entities
- 237 relation types
- 310,116 triples
- Filtered version removing inverse relations
- More cha

- 🔒 Full content on the Pro plan (€7.99/month) -

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