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This repository has been archived by the owner on Nov 18, 2023. It is now read-only.
A CI workflow which reaches an approval step, where approval is not given, is indicated as pending (orange). This is misleading as it gives the impression that tests have not passed. Approval is only given when releasing, so this problem is very common.
Current Workaround
Inspect the pending flag to see how far the workflow progressed
Proposed Solution
Use a custom approval system
The text was updated successfully, but these errors were encountered:
## What is the goal of this PR?
Create a more versatile approach to KGCNs, one that can be customised to perform:
- Relation prediction
- Attribute value prediction
- Subgraph prediction
- Graph optimisation
- Generation of Concept embeddings
## What are the changes implemented in this PR?
Overwrites the entirety of the KGCN project with a more advanced version. This new approach uses a learned message-passing algorithm, implemented in TensorFlow. The algorithm can predict node, edge and global properties for any input graph.
Implemented is a method to predict new Relations in extracted subgraphs, picking from a provided set of candidate relations.
Solves #51, #78, #42
Problem to Solve
A CI workflow which reaches an approval step, where approval is not given, is indicated as
pending
(orange). This is misleading as it gives the impression that tests have not passed. Approval is only given when releasing, so this problem is very common.Current Workaround
Inspect the
pending
flag to see how far the workflow progressedProposed Solution
Use a custom approval system
The text was updated successfully, but these errors were encountered: