# thunlp/KRLPapers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

Repository: https://github.com/thunlp/KRLPapers
Canonical: https://ross.abutalabs.com/products/krlpapers
Language: TeX
License Family: other
Topics: knowledge-embedding, paper-list
Last push: 2021-08-29T07:30:25+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": 3133, "days_push": 1830, "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 1523, forks 241 (observed 2026-08-28T04:04:58.081192+00:00)

## What it is
A curated list of must-read papers on knowledge representation learning (KRL) and knowledge embedding (KE), maintained by THUNLP. It organizes survey and conference/journal papers with brief summaries and links to code.

## Use cases
- find must-read papers on knowledge graph embedding
- get started with knowledge representation learning research
- find papers on TransE, TransH, TransR and related models
- survey literature for a knowledge embedding literature review
- find code implementations for KRL models
- prepare a reading list for a knowledge graph seminar

## When to choose
- you are starting research in knowledge graph embeddings and need a curated reading list
- you want quick summaries and links to foundational KRL/KE papers
- you need pointers to reference implementations like OpenKE

## When to avoid
- you need a runnable toolkit rather than a paper list (use OpenKE instead)
- you need up-to-date papers after 2021, as the list is no longer actively updated
- you need a dataset or benchmark

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, documentation
- domain: artificial-intelligence, machine-learning, tutorials
- platform: cross-platform
- tags: knowledge-graph, knowledge-embedding, paper-list, awesome-list, research-papers, natural-language-processing

## Member repositories
- thunlp/KRLPapers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:58.081192+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 2026-08-30T04:31:45.632284+00:00, confidence not recorded.
  - readme: https://github.com/thunlp/KRLPapers (fetched 2026-08-28T04:04:58.081192+00:00, sha 4f4a30683a6f)
- Data as of 2026-08-30T08:39:29.467469+00:00.