1 citations · 1 across the 3 of their papers we have counts for
4 papers
SP-GCRL: Influence Maximization on Incomplete Social Graphs
Haohua Niu, Yuxuan Yang, Lingfeng Zhang +4
Influence maximization (IM) in real platforms is challenged by incomplete, noisy social graphs and non-stationary diffusion dynamics. We propose SP-GCRL, a social-propagation-aware…
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
Yiwei Zou, Ting Li, Zong-fu Luo
Closeness Centrality (CC) and Betweenness Centrality (BC) are crucial metrics in network analysis, providing essential reference for discerning the significance of nodes within com…
A Quick Framework for Evaluating Worst Robustness of Complex Networks
Wenjun Jiang, Peiyan Li, Tianlong Fan +4
Robustness is pivotal for comprehending, designing, optimizing, and rehabilitating networks, with simulation attacks being the prevailing evaluation method. Simulation attacks are…
Comprehensive Analysis of Network Robustness Evaluation Based on Convolutional Neural Networks with Spatial Pyramid Pooling
Wenjun Jiang, Tianlong Fan, Changhao Li +3
Connectivity robustness, a crucial aspect for understanding, optimizing, and repairing complex networks, has traditionally been evaluated through time-consuming and often impractic…