120 citations · 142 across the 3 of their papers we have counts for
3 papers
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.IR2019★ 1 cited
N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network
Jinyin Chen, Yangyang Wu, Lu Fan +4
Recommender systems are becoming more and more important in our daily lives. However, traditional recommendation methods are challenged by data sparsity and efficiency, as the numb…
cs.SI2019★ 21 cited
Can Adversarial Network Attack be Defended?
Jinyin Chen, Yangyang Wu, Xiang Lin +1
Machine learning has been successfully applied to complex network analysis in various areas, and graph neural networks (GNNs) based methods outperform others. Recently, adversarial…