120 citations · 132 across the 14 of their papers we have counts for
3 papers · 1 filter
GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
Chaofan Zhu, Xiaobing Rui, Zhixiao Wang
Imbalanced node classification is a critical challenge in graph learning, where most existing methods typically utilize Graph Neural Networks (GNNs) to learn node representations.…
Time-Critical Adversarial Influence Blocking Maximization
Jilong Shi, Qiangpeng Fang, Xiaobin Rui +2
Adversarial Influence Blocking Maximization (AIBM) aims to select a set of positive seed nodes that propagate synchronously with the known negative seed nodes to counteract their n…
Efficient Approximation Algorithms for Fair Influence Maximization under Maximin Constraint
Xiaobin Rui, Qiangpeng Fang, Chen Peng +3
Fair Influence Maximization (FIM) seeks to mitigate disparities in influence across different groups and has recently garnered increasing attention. A widely adopted notion of fair…