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Qi Cao
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År
Graph Wavelet Neural Network
B Xu, H Shen, Q Cao, Y Qiu, X Cheng
4722018
DeepHawkes: Bridging the gap between prediction and understanding of information cascades
Q Cao, H Shen, K Cen, W Ouyang, X Cheng
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
2872017
Graph convolutional networks using heat kernel for semi-supervised learning
B Xu, H Shen, Q Cao, K Cen, X Cheng
Proceedings of the 28th International Joint Conference on Artificial …, 2019
1792019
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Q Cao, H Shen, J Gao, B Wei, X Cheng
Proceedings of the 13th International Conference on Web Search and Data …, 2020
1582020
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field
B Xu, H Shen, B Sun, R An, Q Cao, X Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4537-4545, 2021
842021
Single Node Injection Attack against Graph Neural Networks
S Tao, Q Cao, H Shen, J Huang, Y Wu, X Cheng
Proceedings of the 30th ACM International Conference on Information …, 2021
782021
Signed Bipartite Graph Neural Networks
J Huang, H Shen, Q Cao, S Tao, X Cheng
Proceedings of the 30th ACM International Conference on Information …, 2021
462021
Conditional gans with auxiliary discriminative classifier
L Hou, Q Cao, H Shen, S Pan, X Li, X Cheng
International Conference on Machine Learning, 8888-8902, 2022
452022
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation
J Huang, R Xie, Q Cao, H Shen, S Zhang, F Xia, X Cheng
Information Processing & Management 60 (4), 103403, 2023
382023
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
H Tan, F Sun, W Yang, Y Wang, Q Cao, X Cheng
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
27*2024
Adversarial Immunization for Certifiable Robustness on Graphs
S Tao, H Shen, Q Cao, L Hou, X Cheng
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
25*2021
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering
Y Wu, Q Cao, H Shen, S Tao, X Cheng
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
232022
Adversarial camouflage for node injection attack on graphs
S Tao, Q Cao, H Shen, Y Wu, L Hou, F Sun, X Cheng
Information Sciences 649, 119611, 2023
222023
Robust Recommender System: A Survey and Future Directions
K Zhang, Q Cao, F Sun, Y Wu, S Tao, H Shen, X Cheng
arXiv preprint arXiv:2309.02057, 2023
202023
Predicting the Popularity of Online Content with Group-specific Models
Q Cao, H Shen, H Gao, J Gao, X Cheng
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
182017
Self-supervised gans with label augmentation
L Hou, H Shen, Q Cao, X Cheng
Advances in Neural Information Processing Systems 34, 13019-13031, 2021
172021
Temporal convolutional networks for popularity prediction of messages on social medias
J Shao, H Shen, Q Cao, X Cheng
Information Retrieval: 25th China Conference, CCIR 2019, Fuzhou, China …, 2019
172019
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph
K Zhang, Q Cao, G Fang, B Xu, H Zou, H Shen, X Cheng
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
162023
Towards generalizable graph contrastive learning: An information theory perspective
Y Yuan, B Xu, H Shen, Q Cao, K Cen, W Zheng, X Cheng
Neural Networks, 106125, 2024
152024
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
J Huang, Q Cao, R Xie, S Zhang, F Xia, H Shen, X Cheng
International Conference on Database Systems for Advanced Applications, 373-388, 2023
142023
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