- Introduce model evaluation
- Load Model from checkpoints or initialize random model from jupyter notebook for evaluation
- Integrate wandb
- Implement checkpoints
- Track triplets generated
- Combine EmbeddingModel and GINModel
- Track augmentations performed for each augmentation
- Parallelize creation of InMemory PubchemDataset
- Add another 50 augmentations
- Configure logging
- Set up pytest
- InMemoryDataset should not create "pre-filter.pt" and "pre_transform.pt" files.