Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
Author:
Affiliation:
1. Fraunhofer FIT & RWTH Aachen University, Sankt Augustin, Germany
2. University of Dahaka, Dhaka, Bangladesh
3. RWTH Aachen University & Fraunhofer FIT, Sankt Augustin, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3307339.3342161
Reference53 articles.
1. Large-scale structural and textual similarity-based mining of knowledge graph to predict drug–drug interactions
2. Bio2RDF: Towards a mashup to build bioinformatics knowledge systems
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