| 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 | 366 | 2020 |
| Adversarial Attack and Defense on Graph Data: A Survey L Sun, Y Dou, C Yang, J Wang, PS Yu, L He, B Li IEEE TKDE, 2018 | 297* | 2018 |
| 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 | 217 | 2020 |
| User Preference-aware Fake News Detection Y Dou, K Shu, C Xia, PS Yu, L Sun SIGIR 2021, 2021 | 206 | 2021 |
| ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation L Yang, Z Liu, Y Dou, J Ma, PS Yu SIGIR 2021, 2021 | 121 | 2021 |
| Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks H Peng, R Zhang, Y Dou, R Yang, J Zhang, PS Yu ACM TOIS, 2021 | 110 | 2021 |
| Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs Y Cao, H Peng, J Wu, Y Dou, J Li, PS Yu WWW 2021, 2021 | 91 | 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 | 88 | 2021 |
| BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ... NeurIPS 2022, 2022 | 74* | 2022 |
| A survey of collaborative filtering algorithms for social recommender systems Y Dou, H Yang, X Deng IEEE SKG, 2016 | 57 | 2016 |
| Robust Spammer Detection by Nash Reinforcement Learning Y Dou, G Ma, PS Yu, S Xie KDD 2020, 2020 | 55 | 2020 |
| PyGOD: A Python Library for Graph Outlier Detection K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ... JMLR, 2024 | 35 | 2024 |
| Cross-lingual COVID-19 Fake News Detection J Du, Y Dou, C Xia, L Cui, J Ma, PS Yu ICDMW 2021, 2021 | 35 | 2021 |
| A novel centrality cascading based edge parameter evaluation method for robust influence maximization X Deng, Y Dou, T Lv, QVH Nguyen IEEE Access, 2017 | 27 | 2017 |
| Uncovering Download Fraud Activities in Mobile App Markets Y Dou, W Li, Z Liu, Z Dong, J Luo, PS Yu ASONAM 2019, 2019 | 23 | 2019 |
| Attacking Fake News Detectors via Manipulating News Social Engagement H Wang, Y Dou, C Chen, L Sun, PS Yu, K Shu TheWebConf 2023, 2023 | 22 | 2023 |
| Automating DBSCAN via Deep Reinforcement Learning R Zhang, H Peng, Y Dou, J Wu, Q Sun, J Zhang, PS Yu CIKM 2022, 2022 | 16 | 2022 |
| Deep Fraud Detection on Non-attributed Graph C Wang, Y Dou, M Chen, J Chen, Z Liu, PS Yu IEEE BigData 2021, 2021 | 15 | 2021 |
| A Review of Recent Advance in Online Spam Detection Y Dou Technical Report, 2019 | 8 | 2019 |
| Efficient CPS model based online opinion governance modeling and evaluation for emergency accidents X Deng, Y Yu, D Guo, Y Dou GeoInformatica, 2018 | 6* | 2018 |
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证
