A Heterogeneous Ranking Contrastive Learning Method for Drug-Target Interaction Prediction
Author:
Affiliation:
1. Nankai University,Collage of Software,TianJin,China
2. TianJin International Joint Academy of Biomedicine,TianJin,China
3. China Electronics Divital Innovation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385892.pdf?arnumber=10385892
Reference12 articles.
1. NRLMFβ: Beta-distribution-rescored neighborhood regularized logistic matrix factorization for improving the performance of drug–target interaction prediction
2. A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
3. Identifying drug–target interactions based on graph convolutional network and deep neural network
4. NeuRank: learning to rank with neural networks for drug–target interaction prediction
5. Supervised graph co-contrastive learning for drug–target interaction prediction
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