Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach.

Changjun Fan|Li Zeng|Yuhui Ding|Muhao Chen|Yizhou Sun|Zhong Liu


Anthology ID:DBLP:conf/cikm/FanZDCSL19
Volume:Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
Year:2019
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:559-568
URL:https://doi.org/10.1145/3357384.3357979
DOI:https://doi.org/10.1145/3357384.3357979
DBLP:conf/cikm/FanZDCSL19
BibTeX:
@inproceedings{fan-2019-learning, author = {Changjun Fan and Li Zeng and Yuhui Ding and Muhao Chen and Yizhou Sun and Zhong Liu}, editor = {Wenwu Zhu and Dacheng Tao and Xueqi Cheng and Peng Cui and Elke A. Rundensteiner and David Carmel and Qi He and Jeffrey Xu Yu}, title = {{Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach}}, booktitle = {{Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019}}, pages = {559--568}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3357384.3357979}, doi = {https://doi.org/10.1145/3357384.3357979} }