1 citations · 1 across the 2 of their papers we have counts for
2 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…