liuganghuggingface
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InfoAlign-Pretrained

Graph Machine Learning

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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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Graph Machine Learning

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Dataset used to train liuganghuggingface/InfoAlign-Pretrained

Collection including liuganghuggingface/InfoAlign-Pretrained

InfoAlign collection

A collection of related resources for the InfoAlign: learning molecular representation in a cell. • 3 items • Updated Oct 10