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Table 2 Model structure and parameters for drug graph information extraction

From: SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction

Layer name

Output size

Parameters

DMPNN

Atom feature dim 64

In_features 70, out_features 64, hidden dim 64, n_iter 10

GATConv

Atom feature dim 70

In_channels 70, out_channels 35, heads 2

SAGPooling

[batch_size,64]

In_features 64,out_features 1

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BMC Bioinformatics

ISSN: 1471-2105

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