5 papers
Cross-Domain Molecular Relational Learning: Leveraging Chemical Structure-Activity Analysis
Peiliang Zhang, Jingling Yuan, Shiqing Wu +4
Recent advances in molecular representation integrates molecular topological and visual modalities, opening new avenues for precise Molecular Relational Learning (MRL). Existing MR…
Certified Signed Graph Unlearning
Junpeng Zhao, Lin Li, Kaixi Hu +2
Signed graphs model complex relationships through positive and negative edges, with widespread real-world applications. Given the sensitive nature of such data, selective removal m…
TriCon-Fair: Triplet Contrastive Learning for Mitigating Social Bias in Pre-trained Language Models
Chong Lyu, Lin Li, Shiqing Wu +1
The increasing utilization of large language models raises significant concerns about the propagation of social biases, which may result in harmful and unfair outcomes. However, ex…
Representational Alignment with Chemical Induced Fit for Molecular Relational Learning
Peiliang Zhang, Jingling Yuan, Qing Xie +3
Molecular Relational Learning (MRL) is widely applied in natural sciences to predict relationships between molecular pairs by extracting structural features. The representational s…
Primary and Secondary Factor Consistency as Domain Knowledge to Guide Happiness Computing in Online Assessment
Xiaohua Wu, Lin Li, Xiaohui Tao +2
Happiness computing based on large-scale online web data and machine learning methods is an emerging research topic that underpins a range of issues, from personal growth to social…