Accenture / Accenture/AmpliGraph
Predict Head or Tail candidates using GraphSAGE model
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- Dominant language
- Python
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Description
Hi
How to train GraphSAGE model for prediction tasks, like TransE, RotateE, ComplEx models etc.
For example: After training GraphSAGE on KG predict head or tail entities using query_topn
Thanks
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
Start by reviewing the GraphSAGE training and prediction entry points, then compare the requested head and tail prediction flow with the existing TransE, RotatE, and ComplEx models. Investigate how query_topn is expected to operate and define done as supporting trained GraphSAGE models for these prediction tasks.
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
- 20/100