Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network.
Md. Rezaul KarimMichael CochezJoao Bosco JaresMamtaz UddinOya Deniz BeyanStefan DeckerPublished in: CoRR (2019)
Keyphrases
- drug design
- protein interaction
- network architecture
- chemical compounds
- expert systems
- domain knowledge
- graph structure
- prediction accuracy
- knowledge base
- knowledge representation
- knowledge discovery
- peer to peer
- knowledge acquisition
- physico chemical
- data mining techniques
- structured data
- clinical trials
- wireless sensor networks
- drug resistance
- macro level
- low dimensional
- random walk
- drug discovery
- random graphs
- small world
- human computer interaction
- weighted graph
- high dimensional data
- euclidean space
- link prediction
- directed graph
- complex networks