Peican Zhu
Biographic Data
| ID | 8795205 |
|---|---|
| NAME | Peican Zhu |
| GIVEN NAMES | Peican |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU P |
| AFFILIATIONS | Northwestern Polytechnical University |
| ORCID | 0000-0002-8389-1093 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Node Injection Attack Based on Label Propagation Against Graph Neural Network
Graph neural network (GNN) has achieved remarkable success in various graph learning tasks, such as node classification, link prediction, and graph classification. The key to the success of GNN lies in its effective structure information representation through neighboring aggregation. However, the attacker can easily perturb the aggregation process through injecting fake nodes, which reveals that GNN is vulnerable to the graph injection attack (G…
Simplex Pattern Prediction Based on Dynamic Higher Order Path Convolutional Networks
Recently, higher order patterns have played an important role in network structure analysis. The simplices in higher order patterns enrich dynamic network modeling and provide strong structural feature information for feature learning. However, the disorder dynamic network with simplex patterns has not been organized and divided according to time windows. Besides, existing methods do not make full use of the feature information to predict the sim…
A Deceptive Reviews Detection Method Based on Multidimensional Feature Construction and Ensemble Feature Selection
Deceptive reviews on social media and e-commerce websites are inflammatory and will significantly affect the judgment and purchase behavior of other users. At present, many researchers build models based on single text features to detect deceptive reviews. However, deceptive reviewers will deliberately imitate the text style of true reviews when writing reviews. At this time, these methods based on text features are not necessarily effective. Wha…
No prominent works on this page.
A Deceptive Reviews Detection Method Based on Multidimensional Feature Construction and Ensemble Feature Selection
Deceptive reviews on social media and e-commerce websites are inflammatory and will significantly affect the judgment and purchase behavior of other users. At present, many researchers build models based on single text features to detect deceptive reviews. However, deceptive reviewers will deliberately imitate the text style of true reviews when writing reviews. At this time, these methods based on text features are not necessarily effective. Wha…
Node Injection Attack Based on Label Propagation Against Graph Neural Network
Graph neural network (GNN) has achieved remarkable success in various graph learning tasks, such as node classification, link prediction, and graph classification. The key to the success of GNN lies in its effective structure information representation through neighboring aggregation. However, the attacker can easily perturb the aggregation process through injecting fake nodes, which reveals that GNN is vulnerable to the graph injection attack (G…
Simplex Pattern Prediction Based on Dynamic Higher Order Path Convolutional Networks
Recently, higher order patterns have played an important role in network structure analysis. The simplices in higher order patterns enrich dynamic network modeling and provide strong structural feature information for feature learning. However, the disorder dynamic network with simplex patterns has not been organized and divided according to time windows. Besides, existing methods do not make full use of the feature information to predict the sim…
Artificial Intelligence (3 works) · Computer Science (3 works) · Computer network (2 works) · Advanced Algorithms and Applications (1 works) · Advanced Computational Techniques and Applications (1 works) · Advanced Graph Neural Networks (1 works) · Advanced Malware Detection Techniques (1 works) · Algorithm (1 works) · Anomaly Detection Techniques and Applications (1 works) · Artificial neural network (1 works)