Integrated knowledge graphs and embeddings vectors for drug-drug interaction prediction

The associated Knowledge Graphs for predicting potential drug-drug interaction, which is used in our paper titled "Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network". Please consider citing the following paper if you plan or used our datasets. Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, and Stefan Decker, "Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network", In 10th ACM Int’l Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB ’19), September 7–10, 2019, Niagara Falls, NY, USA.Please refer to https://github.com/rezacsedu/DDI-prediction-KG-embeddings-Conv-LSTM and contact rezaul.karim@rwth-aachen.de for the graph embeddings and other computational materials