From the 1 of 4 linked papers with an AI index.
4 papers
Adaptive Fusion Self-supervised Learning for Recommendation
Yu Zhang, Lei Sang, Yi Zhang +2
The paper proposes Adaptive Fusion Graph Contrastive Learning (AFGCL), a self‑supervised recommendation method that avoids costly graph augmentations by fusing representations from…
SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction
Hangxiao Zhu, Yuyu Zhang, Ping Nie +1
The rapid growth of scientific literature calls for automated methods to assess and predict research impact. Prior work has largely focused on citation-based metrics, leaving limit…
DIAURec: Dual-Intent Space Representation Optimization for Recommendation
Yu Zhang, Yiwen Zhang, Yi Zhang +1
General recommender systems deliver personalized services by learning user and item representations, with the central challenge being how to capture latent user preferences. Howeve…
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
Yu Zhang, Yiwen Zhang, Yi Zhang +2
Personalized recommendation is widely used in the web applications, and graph contrastive learning (GCL) has gradually become a dominant approach in recommender systems, primarily…