MKGE: Knowledge graph embedding with molecular structure information

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization

(2021) Yue Yu et al.   BIOINFORMATICS

Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition

(2020) Minsoo Cho et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Test-time adaptable neural networks for robust medical image segmentation

(2020) Neerav Karani et al.   MEDICAL IMAGE ANALYSIS

Identifying Structure–Property Relationships through SMILES Syntax Analysis with Self-Attention Mechanism

(2019) Shuangjia Zheng et al.   Journal of Chemical Information and Modeling

BioKEEN: a library for learning and evaluating biological knowledge graph embeddings

(2019) Mehdi Ali et al.   BIOINFORMATICS

Dual CNN for Relation Extraction with Knowledge-Based Attention and Word Embeddings

(2019) Jun Li et al.   Computational Intelligence and Neuroscience

Modeling polypharmacy side effects with graph convolutional networks

(2018) Marinka Zitnik et al.   BIOINFORMATICS

Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition

(2018) Sabrina Jaeger et al.   Journal of Chemical Information and Modeling

Deep learning improves prediction of drug–drug and drug–food interactions

(2018) Jae Yong Ryu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Knowledge Graph Embedding: A Survey of Approaches and Applications

(2017) Quan Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

DrugBank 5.0: a major update to the DrugBank database for 2018

(2017) David S Wishart et al.   NUCLEIC ACIDS RESEARCH

Molecular de-novo design through deep reinforcement learning

(2017) Marcus Olivecrona et al.   Journal of Cheminformatics

PubChem Substance and Compound databases

(2015) Sunghwan Kim et al.   NUCLEIC ACIDS RESEARCH