Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.

Zhiwei Liu|Yingtong Dou|Philip S. Yu|Yutong Deng|Hao Peng


Anthology ID:DBLP:conf/sigir/LiuDYDP20
Volume:Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
Year:2020
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1569-1572
URL:https://doi.org/10.1145/3397271.3401253
DOI:https://doi.org/10.1145/3397271.3401253
DBLP:conf/sigir/LiuDYDP20
BibTeX:
@inproceedings{liu-2020-alleviating, author = {Zhiwei Liu and Yingtong Dou and Philip S. Yu and Yutong Deng and Hao Peng}, editor = {Jimmy Huang and Yi Chang and Xueqi Cheng and Jaap Kamps and Vanessa Murdock and Ji-Rong Wen and Yiqun Liu}, title = {{Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection}}, booktitle = {{Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020}}, pages = {1569--1572}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3397271.3401253}, doi = {https://doi.org/10.1145/3397271.3401253} }