# npubird/KnowledgeGraphCourse

东南大学《知识图谱》研究生课程

Repository: https://github.com/npubird/KnowledgeGraphCourse
Canonical: https://ross.abutalabs.com/products/knowledgegraphcourse
License Family: other
Last push: 2025-04-29T12:20:54+00:00

## Health v2 (maintenance only)
Score: 41/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 19, release rhythm 35, longevity 100
- inputs: {"age_days": 2743, "days_push": 491, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4463, forks 1142 (observed 2026-08-28T04:08:50.802612+00:00)

## What it is
A graduate-level course on knowledge graphs from Southeast University, providing lecture slides and materials covering knowledge representation, modeling, extraction, and reasoning. It is a curated educational resource rather than software.

## Use cases
- learn knowledge graph fundamentals
- study entity and relation extraction techniques
- find lecture slides on ontology engineering
- prepare a university course on knowledge graphs
- understand knowledge graph vs deep learning
- explore knowledge representation learning methods

## When to choose
- you want structured academic material for learning knowledge graphs
- you are an instructor designing a knowledge graph curriculum
- you want Chinese-language graduate course content on NLP and knowledge engineering

## When to avoid
- you need runnable software or code for building knowledge graphs
- you want an English-language resource
- you need a library or tool to integrate into a project

## Facets
- artifact type: learning-resource
- maturity: active
- function: nlp, machine-learning, data-science
- domain: artificial-intelligence, education, tutorials
- platform: -
- tags: knowledge-graph, course-materials, lecture-slides, graduate-course, chinese, ontology, information-extraction, natural-language-processing, web-server

## Member repositories
- npubird/KnowledgeGraphCourse (main) score 41

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:50.802612+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:20:40.788848+00:00, confidence not recorded.
  - readme: https://github.com/npubird/KnowledgeGraphCourse (fetched 2026-08-28T04:08:50.802612+00:00, sha f0d8e72bd988)
- Data as of 2026-08-30T08:39:29.467469+00:00.