# husthuke/awesome-knowledge-graph

整理知识图谱相关学习资料

Repository: https://github.com/husthuke/awesome-knowledge-graph
Canonical: https://ross.abutalabs.com/products/awesome-knowledge-graph
License Family: other
Last push: 2021-03-11T11:20:57+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2907, "days_push": 2001, "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 5147, forks 936 (observed 2026-08-28T04:09:11.340789+00:00)

## What it is
A curated awesome-list of knowledge graph learning resources, including papers, surveys, datasets, tools, video courses, and project examples. It provides a systematic learning path for knowledge graph theory and applications, primarily in Chinese with links to English papers.

## Use cases
- learn knowledge graphs from scratch
- find survey papers on knowledge graph construction
- find datasets for knowledge graph research
- study knowledge-enhanced language models like ERNIE and K-BERT
- find tools and services for building knowledge graphs
- prepare for knowledge graph competitions and benchmarks

## When to choose
- you want a structured, curated reading path for knowledge graphs
- you need pointers to classic Chinese and English survey papers
- you are researching knowledge-augmented language models

## When to avoid
- you need working software or code libraries rather than references
- you need up-to-date resources, as the list was last updated in 2021
- you need English-only learning materials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, nlp, machine-learning
- domain: artificial-intelligence, tutorials, awesome-lists
- platform: -
- tags: knowledge-graph, awesome-list, curated-resources, papers, learning-path, natural-language-processing, web-server

## Member repositories
- husthuke/awesome-knowledge-graph (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:11.340789+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 2026-08-29T18:01:57.366947+00:00, confidence not recorded.
  - readme: https://github.com/husthuke/awesome-knowledge-graph (fetched 2026-08-28T04:09:11.340789+00:00, sha c8cc9e69fd9a)
- Data as of 2026-08-30T08:39:29.467469+00:00.