Publications (Back to Homepage)

2022

• BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
  Kay Liu*, Yingtong Dou*, Yue Zhao* et al.
  NeurIPS 2022.
  [Paper][Code][BibTeX]

• Automating DBSCAN via Deep Reinforcement Learning.
  Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu.
  ACM CIKM. 2022.
  [Paper][Code][BibTeX]

• Adversarial Attack and Defense on Graph Data: A Survey.
  Lichao Sun, Yingtong Dou, Carl Yang et al.
  IEEE TKDE. 2022.
  [Paper][Paper List][BibTeX]

2021

• Deep Fraud Detection on Non-attributed Graph.
  Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu.
  IEEE BigData. 2021.
  [Paper][BibTeX]

• Cross-lingual COVID-19 Fake News Detection.
  Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu.
  IEEE ICDMW. 2021.
  [Paper][Data][BibTeX]

• Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks.
  Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu.
  ACM TOIS. 2021.
  [Paper][Code][BibTeX]

• User Preference-aware Fake News Detection.
  Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun.
  ACM SIGIR. 2021.
  [Paper][Code][Slides][PyG Example][DGL Example][Data][Chinese Blog][BibTeX]

• ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation.
  Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu.
  ACM SIGIR. 2021.
  [Paper][Code][BibTeX]

• Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
  Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He.
  IEEE TKDE. 2021.
  [Paper][Code][BibTeX]

• Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
  Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu.
  The Web Conference. 2021.
  [Paper][Code][BibTeX]

2020

• Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.
  Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu.
  ACM CIKM. 2020.
  [Paper][Code][DGL Example][Slides][BibTeX]

• Robust Spammer Detection by Nash Reinforcement Learning.
  Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie.
  ACM SIGKDD. 2020.
  [Paper][Code][Slides][Video][Chinese Blog][BibTeX]

• Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.
  Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng.
  ACM SIGIR. 2020.
  [Paper][Code][Slides][Chinese Blog][BibTeX]

Before 2020

• Uncovering Download Fraud Activities in Mobile App Markets.
  Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu.
  ACM/IEEE ASONAM. 2019.
  [Paper][Slides][English Blog][BibTeX]

• A Review of Recent Advance in Online Spam Detection.
  Yingtong Dou.
  Technical Report. Mar. 2019.
  [Paper][Slides][BibTeX]

• A Novel Centrality Cascading Based Edge Parameter Evaluation Method for Robust Influence Maximization.
  Xiaolong Deng, Yingtong Dou, Tiejun Lv, Nguyen QVH.
  IEEE Access. 2017.
  [Paper][Code][Slides][BibTeX]

• CPS Model Based Online Opinion Governance Modeling and Evaluation of Emergency Accidents.
  Xiaolong Deng, Yingtong Dou, Yihua Huang.
  EMGIS in ACM SIGSPATIAL. 2016.
  [Paper][Slides][Extended Journal Version][BibTeX]