120 citations · 132 across the 14 of their papers we have counts for
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cs.SI2026★ 120 cited
Attention-based graph neural networks: a survey
Chengcheng Sun, Chenhao Li, Xiang Lin +4
Graph neural networks (GNNs) aim to learn well-trained representations in a lower-dimension space for downstream tasks while preserving the topological structures. In recent years,…
cs.SI2025
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…
cs.SI2022★ 7 cited
Scalable Adversarial Attack Algorithms on Influence Maximization
Lichao Sun, Xiaobin Rui, Wei Chen
In this paper, we study the adversarial attacks on influence maximization under dynamic influence propagation models in social networks. In particular, given a known seed set S, th…