Schematic diagram of the ASGCL model.

Schematic diagram of the ASGCL model.

<p>Module A utilizes a nonlinear subspace to extract cell line and drug features as primary characteristics; Module B, named GraphMorpher, adaptively sparsify the input graph structure; Module C is a contrastive learning module, which enhances the model’s discriminative ability by processing a...

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Bibliographic Details
Main Author: Yunyun Dong (6936965) (author)
Other Authors: Yuanrong Zhang (20642745) (author), Yuhua Qian (20642748) (author), Yiming Zhao (348349) (author), Ziting Yang (10322501) (author), Xiufang Feng (20642751) (author)
Published: 2025
Subjects:
Medicine
Pharmacology
Infectious Diseases
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
unraveling latent interactions
predicting drug responses
negative sample sets
modern medical research
model &# 8217
guiding clinical decision
cancer cell lines
adaptive sparse mapping
asgcl accomplishes end
end learning
topological pruning
synergistic combination
study introduces
potent tool
original input
innovative approach
graphmorpher module
graph levels
frontier issue
feature representations
experimental evaluations
discriminatory prowess
crucial task
contrastive loss
augmented graph
asgcl ),
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