6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 6 cited
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
Qijie Ding, Jie Yin, Daokun Zhang +1
Entity alignment (EA) aims at identifying equivalent entity pairs across different knowledge graphs (KGs) that refer to the same real-world identity. To circumvent the shortage of…
cs.LG2023
Hierarchical Federated Learning Incentivization for Gas Usage Estimation
Has Sun, Xiaoli Tang, Chengyi Yang +5
Accurately estimating gas usage is essential for the efficient functioning of gas distribution networks and saving operational costs. Traditional methods rely on centralized data p…
cs.LG2022★ 1 cited
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment
Qijie Ding, Daokun Zhang, Jie Yin
Entity alignment aims to discover unique equivalent entity pairs with the same meaning across different knowledge graphs (KGs). Existing models have focused on projecting KGs into…