thunlp/KB2E
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3761
- days_rel: n/a
- days_push: 1399
- n_releases_24m: 0
Adoption not part of the score
1420 stars · 445 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
KB2E is a C++ library implementing knowledge graph embedding models including TransE, TransH, TransR, and PTransE from Tsinghua University's THU-OpenSK project. The project is no longer maintained and users are directed to its successor, OpenKE.
Use cases
- train knowledge graph embeddings with transe
- compute transh embeddings for a knowledge base
- learn entity and relation vectors with transr
- run ptrans on a knowledge graph
- research knowledge graph representation learning
When to choose
- you need the original C++ implementations of TransE/TransH/TransR/PTransE for research reproduction
When to avoid
- you want an actively maintained knowledge embedding toolkit - use OpenKE instead
- you need Python or GPU-based training
Facets
library · maturity abandoned
machine-learning machine-learning artificial-intelligence databases cpp cross-platform knowledge-graph knowledge-graph-embeddings transe transh transr ptrans research embedding linux
1 source
- readme: https://github.com/thunlp/KB2E · fetched 2026-08-28 · d56133be0068
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| thunlp/KB2E | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem