3 citations · 4 across the 4 of their papers we have counts for
4 papers
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations
Jinjiang Guo, Jie Li
The study of molecule-target interaction is quite important for drug discovery in terms of target identification, hit identification, pathway study, drug-drug interaction, etc. Mos…
Real-time tracking of COVID-19 and coronavirus research updates through text mining
Yutong Jin, Jie Li, Xinyu Wang +5
The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing pandemic. There are ongoing studies with up to hundreds of publications uploaded to databases daily. We are e…
Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations
Dawei Leng, Jinjiang Guo, Lurong Pan +2
Graph neural networks are emerging as continuation of deep learning success w.r.t. graph data. Tens of different graph neural network variants have been proposed, most following a…
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction
Jinjiang Guo, Jie Li, Dawei Leng +1
Multi-scale biomedical knowledge networks are expanding with emerging experimental technologies that generates multi-scale biomedical big data. Link prediction is increasingly used…