6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.AI2023
A Pre-training Framework for Knowledge Graph Completion
Kuan Xu, Kuo Yang, Hanyang Dong +3
Knowledge graph completion (KGC) is one of the effective methods to identify new facts in knowledge graph. Except for a few methods based on graph network, most of KGC methods tren…
cs.AI2023★ 1 cited
Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction
Xinyan Wang, Ting Jia, Chongyu Wang +5
Accurate identification of disease genes has consistently been one of the keys to decoding a disease's molecular mechanism. Most current approaches focus on constructing biological…
q-bio.MN2022★ 6 cited
Network medicine framework reveals generic herb-symptom effectiveness of Traditional Chinese Medicine
Xiao Gan, Zixin Shu, Xinyan Wang +8
Traditional Chinese medicine (TCM) relies on natural medical products to treat symptoms and diseases. While clinical data have demonstrated the effectiveness of selected TCM-based…