Increasing deep neural networks are applied in solving graph evolved tasks, such as node
classification and link prediction. However, the vulnerability of deep models can be revealed …

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 …

Deep neural network has shown remarkable performance in solving computer vision and
some graph evolved tasks, such as node classification and link prediction. However, the …

Machine learning has been successfully applied to complex network analysis in various
areas, and graph neural networks (GNNs) based methods outperform others. Recently …

Fruitful academic collaborations have become increasingly more important for solving
scientific problems, participating in research projects, and improving productivity. As such …

摘要链路预测旨在挖掘或预测隐藏的或即将出现的链路或链接, 已被广泛应用到诸多实际网络
系统, 为用户挖掘潜在的高价值的关联关系. 然而, 链路预测也可被攻击者用来攻击隐藏的敏感 …

Recommending suitable product items to the target user is essential for the continued
success of eCommerce. Today, many E-commerce systems adopt numerous …

摘要社区检测可以帮助分析及预测整个网络各元素间的交互关系, 为了进一步提高社区检测的
准确度, 论文提出了一种基于node2vec 的社区检测方法. 该方法首先采用一种二阶的随机游走 …

With the big data era, the amount of information accessed in everyday is increasing in most
of the industry. All these data do not possess useful information and may be utilized if it has …