Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Learning Cyber Threat Intelligence Knowledge Graph Embedding with Heterogeneous Relation Networks Based on Multi-Head Relational Graph Attention.

X. Wang, R. Chen, B. Song, J. An, J. Jiang, J. Wang, and P. Yang. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, page 1796-1803. IEEE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yang Yang

Other publications of authors with the same name

Cyber Threat Intelligence Entity Extraction Based on Deep Learning and Field Knowledge Engineering.X. Wang, R. Liu, J. Yang, R. Chen, Z. Ling, P. Yang, and K. Zhang. CSCWD, page 406-413. IEEE, (2022)Towards Comprehensive Detection of DNS Tunnels.M. Luo, Q. Wang, Y. Yao, X. Wang, P. Yang, and Z. Jiang. ISCC, page 1-7. IEEE, (2020)Phishsifter: An Enhanced Phishing Pages Detection Method Based on the Relevance of Content and Domain.Y. Ma, Z. Jiang, J. Jiang, K. Zhang, Z. Ling, and P. Yang. CSCWD, page 909-916. IEEE, (2023)A survey of large language models for cyber threat detection.Y. Chen, M. Cui, D. Wang, Y. Cao, P. Yang, B. Jiang, Z. Lu, and B. Liu. Comput. Secur., (2024)CAN: Complementary Attention Network for Aspect Level Sentiment Classification in Social E-Commerce.Y. Luo, Z. Jiang, J. Jiang, P. Yang, X. Wang, and K. Zhang. WCNC, page 1-6. IEEE, (2021)FSSRE: Fusing Semantic Feature and Syntactic Dependencies Feature for threat intelligence Relation Extraction.X. Wang, M. Xiong, F. He, P. Yang, B. Song, J. Jiang, Z. Jiang, and Z. Xiong. SEKE, page 79-85. KSI Research Inc., (2021)Simplified-Xception: A New Way to Speed Up Malicious Code Classification.X. Zhu, S. He, X. Wang, C. Gao, Y. Wang, P. Yang, and Y. Fu. CSCWD, page 582-587. IEEE, (2023)Spear Phishing Email Detection with Multiple Reputation Features and Sample Enhancement.Z. Ling, H. Feng, X. Ding, X. Wang, C. Gao, and P. Yang. SciSec, volume 13580 of Lecture Notes in Computer Science, page 522-538. Springer, (2022)Extracting Threat Intelligence Relations Using Distant Supervision and Neural Networks.Y. Luo, S. Ao, N. Luo, C. Su, P. Yang, and Z. Jiang. IFIP Int. Conf. Digital Forensics, volume 612 of IFIP Advances in Information and Communication Technology, page 193-211. Springer, (2021)Learning Cyber Threat Intelligence Knowledge Graph Embedding with Heterogeneous Relation Networks Based on Multi-Head Relational Graph Attention.X. Wang, R. Chen, B. Song, J. An, J. Jiang, J. Wang, and P. Yang. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, page 1796-1803. IEEE, (2022)

BibSonomy

Disambiguation of "Yang, Peian"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Learning Cyber Threat Intelligence Knowledge Graph Embedding with Heterogeneous Relation Networks Based on Multi-Head Relational Graph Attention.

Please choose a person to relate this publication to

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yang, Peian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Cyber Threat Intelligence Knowledge Graph Embedding with Heterogeneous Relation Networks Based on Multi-Head Relational Graph Attention.

Please choose a person to relate this publication to

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Learning Cyber Threat Intelligence Knowledge Graph Embedding with Heterogeneous Relation Networks Based on Multi-Head Relational Graph Attention.