InfoAlign collection
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A collection of related resources for the InfoAlign: learning molecular representation in a cell. • 3 items • Updated
The pretrained model for the paper "Learning Molecular Representation in a Cell".
The model is trained with the following configurations:
- emb_dim: 300
- model: gin-virtual
- norm_layer: batch_norm
- num_layer: 5
- prior: 1.0e-09
- readout: sum
- threshold: 0.8
- walk_length: 4
Please place the config.YAML file in the ckpt folder and rename it to pretrain.yaml.
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