Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network.
Md. Rezaul KarimMichael CochezJoao Bosco JaresMamtaz UddinOya Deniz BeyanStefan DeckerPublished in: BCB (2019)
Keyphrases
- drug design
- protein interaction
- network architecture
- domain knowledge
- prediction accuracy
- knowledge base
- physico chemical
- prediction model
- knowledge management
- drug discovery
- spanning tree
- directed acyclic graph
- expert systems
- chemical compounds
- weighted graph
- recurrent neural networks
- structured data
- human computer interaction
- knowledge acquisition
- complex networks
- vector space
- undirected graph
- clinical trials
- radial basis function network
- deep learning
- data mining techniques
- knowledge discovery
- knowledge representation
- elman network