Accenture / Accenture/AmpliGraph

Implement NodePieces

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Dominant language
Python
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Description

*Background and Context

Hey guys,

would be awesome if you could also implement the inductive version of NodePieces (https://github.com/migalkin/NodePiece).

Description

Background: i have a task where i want to find the most similar nodes/entities to a given, unseen node/entity in the graph.

Best regards
Chris

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading the linked NodePiece reference and examining AmpliGraph’s existing Python representation-learning structure. Define the scope for inductive support, including how unseen nodes are handled, and consider how completion would be verified for similarity queries involving unseen entities.

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

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