Accenture / Accenture/AmpliGraph
Implement LiteralE: Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs
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enhancement
model
- Dominant language
- Python
- Stars
- 2.2k
- Forks
- 257
- PR merge metrics
- No merged PRs in 30d
Description
Hi guys, I thought it would be interesting and useful to implement LiteralE as it can handle literals (numerical). Do you think it is feasible? As far as I know it has been coded on top of ConvE codes.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Begin with the linked LiteralE repository and the existing ConvE code referenced in the issue. Clarify the supported numerical-literal inputs, integration point, tests, and acceptance criteria before implementation; the issue currently only asks whether the work is feasible.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100