Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning.
PMID:35306525
Exploring complex and heterogeneous correlations on hypergraph for the prediction of drug-target interactions.
PMID:34950907
Knowledge-infused Learning for Entity Prediction in Driving Scenes.
PMID:34901843
Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence.
PMID:34848761
A unified drug-target interaction prediction framework based on knowledge graph and recommendation system.
PMID:34811351
DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning.
PMID:34551818
Mining a stroke knowledge graph from literature.
PMID:34325669
Biomedical Text Link Prediction for Drug Discovery: A Case Study with COVID-19.
PMID:34073456
Utilizing graph machine learning within drug discovery and development.
PMID:34013350
Systematic Assessment of Transcriptomic Biomarkers for Immune Checkpoint Blockade Response in Cancer Immunotherapy.
PMID:33915876
GADTI: Graph Autoencoder Approach for DTI Prediction From Heterogeneous Network.
PMID:33912218
Application and evaluation of knowledge graph embeddings in biomedical data.
PMID:33816992
KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across species.
PMID:33750020
Artificial Intelligence in Drug Discovery: A Comprehensive Review of Data-driven and Machine Learning Approaches.
PMID:33437151
DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques.
PMID:33431036
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation.
PMID:33330858
Explainable Prediction of Medical Codes With Knowledge Graphs.
PMID:32923430
Predicting Polypharmacy Side-effects Using Knowledge Graph Embeddings.
PMID:32477666
Predicting The Effects of Chemical-Protein Interactions On Proteins Using Tensor Factorisation.
PMID:32477664