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Chuan Zhou
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A comprehensive survey on graph anomaly detection with deep learning
X Ma, J Wu, S Xue, J Yang, C Zhou, QZ Sheng, H Xiong, L Akoglu
IEEE Transactions on Knowledge and Data Engineering, 2022
4872022
Graph self-supervised learning: A survey
Y Liu, M Jin, S Pan, C Zhou, Y Zheng, F Xia, SY Philip
IEEE Transactions on Knowledge and Data Engineering 35 (6), 5879-5900, 2022
4462022
A comprehensive survey on community detection with deep learning
X Su, S Xue, F Liu, J Wu, J Yang, C Zhou, W Hu, C Paris, S Nepal, D Jin, ...
IEEE Transactions on Neural Networks and Learning Systems, 2022
3352022
Deep Learning for Community Detection: Progress, Challenges and Opportunities
F Liu, S Xue, J Wu, C Zhou, W Hu, C Paris, S Nepal, J Yang, PS Yu
The 29th International Joint Conference on Artificial Intelligence (IJCAI-20 …, 2020
2602020
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Y Liu, Z Li, S Pan, C Gong, C Zhou, G Karypis
IEEE Transactions on Neural Networks and Learning Systems, 2022
2402022
Unsupervised Domain Adaptive Graph Convolutional Networks
M Wu, S Pan, C Zhou, X Chang, X Zhu
The 29th International Conference on World Wide Web (WWW-20), 1457-1467, 2020
1582020
Graph Neural Architecture Search
Y Gao, H Yang, Z Peng, C Zhou, Y Hu
The 29th International Joint Conference on Artificial Intelligence (IJCAI-20 …, 2020
1532020
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
M Jin, Y Zheng, YF Li, C Gong, C Zhou, S Pan
arXiv preprint arXiv:2105.05682, 2021
1372021
Personalized influence maximization on social networks
J Guo, P Zhang, C Zhou, Y Cao, L Guo
Proceedings of the 22nd ACM international conference on Information …, 2013
1252013
On the upper bounds of spread for greedy algorithms in social network influence maximization
C Zhou, P Zhang, W Zang, L Guo
IEEE Transactions on Knowledge and Data Engineering 27 (10), 2770-2783, 2015
1192015
Relation Structure-Aware Heterogeneous Graph Neural Network
S Zhu, C Zhou, S Pan, X Zhu, B Wang
The 19th IEEE International Conference on Data Mining (ICDM-19), 1534-1549, 2019
1062019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Y Gao, H Yang, P Zhang, C Zhou, Y Hu
arXiv preprint arXiv:1904.09981, 2019
1022019
Comparative study between incremental and ensemble learning on data streams: Case study
W Zang, P Zhang, C Zhou, L Guo
Journal of Big Data 1 (1), 5, 2014
992014
Ublf: An upper bound based approach to discover influential nodes in social networks
C Zhou, P Zhang, J Guo, X Zhu, L Guo
2013 IEEE 13th International Conference on Data Mining, 907-916, 2013
982013
Combining Heterogenous Social and Geographical Information for Event Recommendation.
Z Qiao, P Zhang, Y Cao, C Zhou, L Guo, B Fang
AAAI 14, 145-151, 2014
952014
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks
G Zhang, Z Li, J Huang, J Wu, C Zhou, J Yang
ACM Transactions on Information Systems, 2022
932022
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
G Wan, S Pan, C Gong, C Zhou, G Haffari
The 29th International Joint Conference on Artificial Intelligence (IJCAI-20 …, 2020
882020
E-tree: An efficient indexing structure for ensemble models on data streams
P Zhang, C Zhou, P Wang, BJ Gao, X Zhu, L Guo
IEEE Transactions on Knowledge and Data Engineering 27 (2), 461-474, 2015
882015
Social Recommendation with an Essential Preference Space
CY Liu, C Zhou, J Wu, Y Hu, L Guo
AAAI 2018, 346-353, 2018
872018
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance
G Zhang, J Wu, J Yang, A Beheshti, S Xue, C Zhou, QZ Sheng
The 21th IEEE International Conference on Data Mining (ICDM-21), 873-882, 2021
842021
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