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Yanqiao ZHU
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Session-based Recommendation with Graph Neural Networks
S Wu, Y Tang, Y Zhu, L Wang, X Xie, T Tan
Proceedings of the AAAI Conference on Artificial Intelligence 33 (1), 346-353, 2019
8652019
Graph Contrastive Learning with Adaptive Augmentation
Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang
Proceedings of the Web Conference 2021, 2069-2080, 2021
2972021
Deep Graph Contrastive Representation Learning
Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang
ICML 2020 Workshop on Graph Representation Learning and Beyond, 2020
2542020
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification
F Hu, Y Zhu, S Wu, L Wang, T Tan
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
1242019
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
F Yu, Y Zhu, Q Liu, S Wu, L Wang, T Tan
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
1192020
Active Learning for Wireless IoT Intrusion Detection
K Yang, J Ren, Y Zhu, W Zhang
IEEE Wireless Communications 25 (6), 19-25, 2018
972018
A Survey on Graph Structure Learning: Progress and Promise
Y Zhu, S Zhang, W Xu, J Zhang, Y Du, J Zhang, Q Liu, S Wu, Y Sun, ...
arXiv preprint arXiv:2103.03036, 2021
76*2021
An Empirical Study of Graph Contrastive Learning
Y Zhu, Y Xu, Q Liu, S Wu
Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021
382021
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction
F Hu, Y Zhu, S Wu, W Huang, L Wang, T Tan
Pattern Recognition 112, 107745, 2021
282021
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
H Cui, W Dai, Y Zhu, X Li, L He, C Yang
Proceedings of the 25th International Conference on Medical Image Computing …, 2022
24*2022
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning
Y Zhu, Y Xu, F Yu, S Wu, L Wang
arXiv preprint arXiv:2009.01674, 2020
172020
Mining Latent Structures for Multimedia Recommendation
J Zhang, Y Zhu, Q Liu, S Wu, S Wang, L Wang
Proceedings of the 29th ACM International Conference on Multimedia, 3872-3880, 2021
152021
A Systematic Survey of Molecular Pre-trained Models
J Xia, Y Zhu, Y Du, SZ Li
arXiv preprint arXiv:2210.16484, 2022
13*2022
Structure-Enhanced Heterogeneous Graph Contrastive Learning
Y Zhu, Y Xu, H Cui, C Yang, Q Liu, S Wu
Proceedings of the 2022 SIAM International Conference on Data Mining, 82-90, 2022
9*2022
Tripartite Active Learning for Interactive Anomaly Discovery
Y Zhu, K Yang
IEEE Access 7, 63195-63203, 2019
92019
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
H Cui, W Dai, Y Zhu, X Kan, AA Chen Gu, J Lukemire, L Zhan, L He, ...
IEEE Transactions on Medical Imaging, 2022
72022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Y Yang, Y Zhu, H Cui, X He, Kan, Lifang, Y Guo, C Yang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
72022
A Survey on Deep Graph Generation: Methods and Applications
Y Zhu, Y Du, Y Wang, Y Xu, J Zhang, Q Liu, S Wu
Proceedings of the First Learning on Graphs Conference 198, 47:1-47:21, 2022
72022
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis
Y Zhu, H Cui, L He, L Sun, C Yang
Proceedings of the 44th Annual International Conference of the IEEE …, 2022
72022
When Contrastive Learning Meets Active Learning: A Novel Graph Active Learning Paradigm with Self-Supervision
Y Zhu, W Xu, Q Liu, S Wu
arXiv preprint arXiv:2010.16091, 2020
72020
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