1 citations · 2 across the 4 of their papers we have counts for
4 papers
Attention-wise masked graph contrastive learning for predicting molecular property
Hui Liu, Yibiao Huang, Xuejun Liu +1
Accurate and efficient prediction of the molecular properties of drugs is one of the fundamental problems in drug research and development. Recent advancements in representation le…
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations
Lei Deng, Yibiao Huang, Xuejun Liu +1
Accumulated clinical studies show that microbes living in humans interact closely with human hosts, and get involved in modulating drug efficacy and drug toxicity. Microbes have be…
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
J. Wang, X. Liu, S. Shen +2
Drug combination therapy has become a increasingly promising method in the treatment of cancer. However, the number of possible drug combinations is so huge that it is hard to scre…
Revealing Dynamic Communities in networks using genetic algorithm with Merging and Splitting Operators
Weihua Zhan, Lei Deng, Jihong Guan +1
Community structure is pervasive in various real-world networks, portraying the strong local clustering of nodes. Unveiling the community structure of a network is deemed to a cruc…