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Self-supervised representation learning with tf-gnn

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Documentation
Clarity
Needs clarification
Activity status
Stale
Tech stack
python, tensorflow

Research direction

Start with tf-gnn's contrastive losses/DGI module and look for existing self-supervised examples or repositories using tf-gnn. Done means providing a working basic self-supervised representation-learning example or clearly pointing users to a suitable implementation.

Written by the indexing model from the issue text.

Description

Hi TF-GNN users!

Could anyone share example code demonstrating the use of contrastive losses/DGI module, or suggest an alternative method to set up a basic self-supervised representation learning task? Additionally, if you could point me to a repository that utilizes tf-gnn in this context, that would also be great.

Thanks,
Szabolcs

Dominant language
Python
Stars
1.5k
Forks
205
Avg merge
13m
Merged PRs (30d)
1

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