Yingtong Dou
Titel
Zitiert von
Zitiert von
Jahr
Adversarial Attack and Defense on Graph Data: A Survey
L Sun, Y Dou, C Yang, J Wang, PS Yu, L He, B Li
arXiv preprint arXiv:1812.10528, 2018
622018
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Z Liu, Y Dou, PS Yu, Y Deng, H Peng
SIGIR 2020, 2020
202020
A novel centrality cascading based edge parameter evaluation method for robust influence maximization
X Deng, Y Dou, T Lv, QVH Nguyen
IEEE Access, 2017
202017
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Y Dou, Z Liu, L Sun, Y Deng, H Peng, PS Yu
CIKM 2020, 2020
192020
Robust Spammer Detection by Nash Reinforcement Learning
Y Dou, G Ma, PS Yu, S Xie
KDD 2020, 2020
92020
Uncovering Download Fraud Activities in Mobile App Markets
Y Dou, W Li, Z Liu, Z Dong, J Luo, PS Yu
ASONAM 2019, 2019
72019
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
Y Cao, H Peng, J Wu, Y Dou, J Li, PS Yu
WWW 2021, 2021
62021
A Review of Recent Advance in Online Spam Detection
Y Dou
Technical Report, 2019
42019
Efficient CPS model based online opinion governance modeling and evaluation for emergency accidents
X Deng, Y Yu, D Guo, Y Dou
GeoInformatica, 2018
4*2018
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation
L Yang, Z Liu, Y Dou, J Ma, PS Yu
SIGIR 2021, 2021
12021
User Preference-aware Fake News Detection
Y Dou, K Shu, C Xia, PS Yu, L Sun
SIGIR 2021, 2021
2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
H Peng, R Zhang, Y Dou, R Yang, J Zhang, PS Yu
arXiv preprint arXiv:2104.07886, 2021
2021
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
J Li, H Peng, Y Cao, Y Dou, H Zhang, PS Yu, L He
IEEE TKDE, 2021
2021
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