11 citations · 20 across the 8 of their papers we have counts for
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cs.AI2026
A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges
Chengcheng Sun, Yajie Song, Cheng Zhai +6
Graph Neural Networks (GNNs) have emerged as the leading paradigm for link prediction, enabling the inference of missing connections and the anticipation of potential future links.…
cs.AI2024★ 11 cited
Data clustering: a fundamental method in data science and management
Tai Dinh, Wong Hauchi, Daniil Lisik +4
This paper explores the critical role of data clustering in data science, emphasizing its methodologies, tools, and diverse applications. Traditional techniques, such as partitiona…
cs.AI2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection
Jiaqian Ren, Hao Peng, Lei Jiang +4
Real-world social events typically exhibit a severe class-imbalance distribution, which makes the trained detection model encounter a serious generalization challenge. Most studies…