1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
AdNGCL: Adaptive Negative Scheduling for Graph Contrastive Learning
Adnan Ali, Jinlong Li, Syed Muhammad Israr +3
Negative samples play a crucial role in graph contrastive learning (GCL), yet existing methods mainly focus on which negatives should be selected, mined, filtered, or progressively…
cs.LG2024
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
Adnan Ali, Jinlong Li, Huanhuan Chen +1
Graph contrastive learning (GCL) aims to contrast positive-negative counterparts to learn the node embeddings, whereas graph data augmentation methods are employed to generate thes…
cs.IR2021★ 1 cited
Implicit Feedback-based Group Recommender System for Internet of Thing Applications
Zhiwei Guo, Keping Yu, Tan Guo +3
With the prevalence of Internet of Things (IoT)-based social media applications, the distance among people has been greatly shortened. As a result, recommender systems in IoT-based…