2 papers
cs.LG2026
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey
Chengcheng Sun, Jiayun Tian, Cheng Zhai +5
Graph Neural Networks (GNNs) have emerged as a powerful paradigm in Knowledge Graphs (KGs) due to their intrinsic ability to model graph-structured data. However, there remains a l…
cs.DS2026
Scalable Fair Influence Blocking Maximization via Approximately Monotonic Submodular Optimization
Qiangpeng Fang, Jilong Shi, Xiaobin Rui +2
Influence Blocking Maximization (IBM) aims to select a positive seed set to suppress the spread of negative influence. However, existing IBM methods focus solely on maximizing bloc…