132 citations · 443 across the 43 of their papers we have counts for
10 papers · 1 filter
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection
Haibin Zheng, Haiyang Xiong, Haonan Ma +2
Link prediction, inferring the undiscovered or potential links of the graph, is widely applied in the real-world. By facilitating labeled links of the graph as the training data, n…
Time-Series Snapshot Network for Partner Recommendation: A Case Study on OSS
Yunyi Xie, Jinyin Chen, Jian Zhang +2
The last decade has witnessed the rapid growth of open source software (OSS). Still, all contributors may find it difficult to assimilate into OSS community even they are enthusias…
MGA: Momentum Gradient Attack on Network
Jinyin Chen, Yixian Chen, Haibin Zheng +4
The adversarial attack methods based on gradient information can adequately find the perturbations, that is, the combinations of rewired links, thereby reducing the effectiveness o…
Time-aware Gradient Attack on Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Zhi Chen +2
In network link prediction, it is possible to hide a target link from being predicted with a small perturbation on network structure. This observation may be exploited in many real…
Multiscale Evolutionary Perturbation Attack on Community Detection
Jinyin Chen, Yixian Chen, Lihong Chen +2
Community detection, aiming to group nodes based on their connections, plays an important role in network analysis, since communities, treated as meta-nodes, allow us to create a l…
Unsupervised Euclidean Distance Attack on Network Embedding
Shanqing Yu, Jun Zheng, Jinhuan Wang +6
Considering the wide application of network embedding methods in graph data mining, inspired by the adversarial attack in deep learning, this paper proposes a Genetic Algorithm (GA…
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…
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Xuanheng Xu +4
Predicting the potential relations between nodes in networks, known as link prediction, has long been a challenge in network science. However, most studies just focused on link pre…
GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction
Jinyin Chen, Xueke Wang, Xuanheng Xu
Dynamic link prediction is a research hot in complex networks area, especially for its wide applications in biology, social network, economy and industry. Compared with static link…
GA Based Q-Attack on Community Detection
Jinyin Chen, Lihong Chen, Yixian Chen +4
Community detection plays an important role in social networks, since it can help to naturally divide the network into smaller parts so as to simplify network analysis. However, on…