28 citations · 52 across the 5 of their papers we have counts for
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cs.AI2024
Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production
Kexuan Xin, Qingyun Wang, Junyu Chen +3
In the rapidly evolving field of metabolic engineering, the quest for efficient and precise gene target identification for metabolite production enhancement presents significant ch…
cs.AI2022
Ensemble Semi-supervised Entity Alignment via Cycle-teaching
Kexuan Xin, Zequn Sun, Wen Hua +4
Entity alignment is to find identical entities in different knowledge graphs. Although embedding-based entity alignment has recently achieved remarkable progress, training data ins…
cs.AI2022★ 28 cited
Informed Multi-context Entity Alignment
Kexuan Xin, Zequn Sun, Wen Hua +2
Entity alignment is a crucial step in integrating knowledge graphs (KGs) from multiple sources. Previous attempts at entity alignment have explored different KG structures, such as…