Jijie Zhang, Yan Yang, Yong Liu, Meng Han. NE-WNA: A Novel Network Embedding Framework Without Neighborhood Aggregation. In Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Volume 13714 of Lecture Notes in Computer Science, pages 453-468, Springer, 2022. [doi]
@inproceedings{ZhangYLH22-0,
title = {NE-WNA: A Novel Network Embedding Framework Without Neighborhood Aggregation},
author = {Jijie Zhang and Yan Yang and Yong Liu and Meng Han},
year = {2022},
doi = {10.1007/978-3-031-26390-3_26},
url = {https://doi.org/10.1007/978-3-031-26390-3_26},
researchr = {https://researchr.org/publication/ZhangYLH22-0},
cites = {0},
citedby = {0},
pages = {453-468},
booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II},
editor = {Massih-Reza Amini and Stéphane Canu and Asja Fischer and Tias Guns and Petra Kralj Novak and Grigorios Tsoumakas},
volume = {13714},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-26390-3},
}