Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective.

Lun Du|Xu Chen|Fei Gao|Qiang Fu|Kunqing Xie|Shi Han|Dongmei Zhang


Anthology ID:DBLP:conf/wsdm/DuCGFXHZ22
Volume:WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
Year:2022
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:230-240
URL:https://doi.org/10.1145/3488560.3498474
DOI:https://doi.org/10.1145/3488560.3498474
DBLP:conf/wsdm/DuCGFXHZ22
BibTeX:
@inproceedings{du-2022-understanding, author = {Lun Du and Xu Chen and Fei Gao and Qiang Fu and Kunqing Xie and Shi Han and Dongmei Zhang}, editor = {K. Sel\c{c}uk Candan and Huan Liu and Leman Akoglu and Xin Dong and Jiliang Tang}, title = {{Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective}}, booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}}, pages = {230--240}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3488560.3498474}, doi = {https://doi.org/10.1145/3488560.3498474} }