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.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- 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.mdPaste 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) -Need help with Claude Code?
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