Related Issues (20)
- Evaluation - Filter out the already known (trained on) positive edges from the candidate pool
- Evaluation - move out test set calculation to main training loop
- Model - Add dropout
- Evaluation - Speed up batching per user (mostly vectorized)
- HPO - Add Optuna
- Tests - N-hop tests for Dataset
- Training - Run HPO (calibrate batch_size, fix matchers, etc)
- Training - Try LightGCN on CPU
- Matchers - Readjust to movielens
- Feature: Breaking LightGCN matrix multiplication into substeps.
- Tests - Acceptance tests for EC model
- DB - tweak query performance
- Dataset - support multiple edge types
- Preprocessing - add more edge types
- Preprocessing - adjustable train/test/val split ratio
- Dataset - Make negative sampling optional
- Evaluation - Movielens matcher that returns all the rated movies for a user
- Run HPO
- Debug: Val/test size mismatch
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