4 citations · 4 across the 4 of their papers we have counts for
4 papers
Polarity-Asymmetric Structural Calibration for Link Sign Prediction
Qiqi Gao, Wenzhuo Song, Xueyan Liu
Link sign prediction (LSP) aims to infer the positive or negative polarity of unobserved links in signed networks. Signed Graph Neural Networks (SGNNs) usually rely on signed-graph…
Signed-Graph Recommendation as Structural Consistency Maximization
Zifan Wang, Siyu Chen, Wenzhuo Song
While signed social recommendation has shown great potential by modeling both trust and distrust relations, its effectiveness is often hindered by structural noise and data sparsit…
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation
Yaowen Bi, Yuteng Lian, Jie Cui +14
Neural-based multi-task learning (MTL) has been successfully applied to many recommendation applications. However, these MTL models (e.g., MMoE, PLE) did not consider feature inter…
Weakly Supervised Label Learning Flows
You Lu, Wenzhuo Song, Chidubem Arachie +1
Supervised learning usually requires a large amount of labelled data. However, attaining ground-truth labels is costly for many tasks. Alternatively, weakly supervised methods lear…