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Yifang Qin
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A comprehensive survey on deep graph representation learning
W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ...
Neural Networks, 106207, 2024
61*2024
Few-shot molecular property prediction via hierarchically structured learning on relation graphs
W Ju, Z Liu, Y Qin, B Feng, C Wang, Z Guo, X Luo, M Zhang
Neural Networks 163, 122-131, 2023
322023
Glcc: A general framework for graph-level clustering
W Ju, Y Gu, B Chen, G Sun, Y Qin, X Liu, X Luo, M Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4391-4399, 2023
282023
DisenPOI: Disentangling sequential and geographical influence for point-of-interest recommendation
Y Qin, Y Wang, F Sun, W Ju, X Hou, Z Wang, J Cheng, J Lei, M Zhang
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
282023
Kernel-based substructure exploration for next POI recommendation
W Ju, Y Qin, Z Qiao, X Luo, Y Wang, Y Fu, M Zhang
2022 IEEE International Conference on Data Mining (ICDM), 221-230, 2022
182022
Towards semi-supervised universal graph classification
X Luo, Y Zhao, Y Qin, W Ju, M Zhang
IEEE Transactions on Knowledge and Data Engineering, 2023
172023
Learning graph ODE for continuous-time sequential recommendation
Y Qin, W Ju, H Wu, X Luo, M Zhang
IEEE Transactions on Knowledge and Data Engineering, 2024
162024
Learning on graphs under label noise
J Yuan, X Luo, Y Qin, Y Zhao, W Ju, M Zhang
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
162023
DisenCTR: Dynamic graph-based disentangled representation for click-through rate prediction
Y Wang, Y Qin, F Sun, B Zhang, X Hou, K Hu, J Cheng, J Lei, M Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
162022
Hope: High-order graph ode for modeling interacting dynamics
X Luo, J Yuan, Z Huang, H Jiang, Y Qin, W Ju, M Zhang, Y Sun
International Conference on Machine Learning, 23124-23139, 2023
142023
Redundancy-free self-supervised relational learning for graph clustering
S Yi, W Ju, Y Qin, X Luo, L Liu, Y Zhou, M Zhang
IEEE Transactions on Neural Networks and Learning Systems, 2023
102023
Alex: Towards effective graph transfer learning with noisy labels
J Yuan, X Luo, Y Qin, Z Mao, W Ju, M Zhang
Proceedings of the 31st ACM international conference on multimedia, 3647-3656, 2023
92023
Rahnet: Retrieval augmented hybrid network for long-tailed graph classification
Z Mao, W Ju, Y Qin, X Luo, M Zhang
Proceedings of the 31st ACM International Conference on Multimedia, 3817-3826, 2023
92023
Zero-shot node classification with graph contrastive embedding network
W Ju, Y Qin, S Yi, Z Mao, K Zheng, L Liu, X Luo, M Zhang
Transactions on Machine Learning Research, 2023
92023
A Diffusion model for POI recommendation
Y Qin, H Wu, W Ju, X Luo, M Zhang
ACM Transactions on Information Systems 42 (2), 1-27, 2023
92023
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling
X Luo, W Ju, Y Gu, Y Qin, S Yi, D Wu, L Liu, M Zhang
ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023
72023
Rignn: A rationale perspective for semi-supervised open-world graph classification
X Luo, Y Zhao, Z Mao, Y Qin, W Ju, M Zhang, Y Sun
Transactions on Machine Learning Research, 2023
62023
A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges
W Ju, S Yi, Y Wang, Z Xiao, Z Mao, H Li, Y Gu, Y Qin, N Yin, S Wang, ...
arXiv preprint arXiv:2403.04468, 2024
52024
A Survey on Graph Neural Networks in Intelligent Transportation Systems
H Li, Y Zhao, Z Mao, Y Qin, Z Xiao, J Feng, Y Gu, W Ju, X Luo, M Zhang
arXiv preprint arXiv:2401.00713, 2024
52024
Focus on informative graphs! semi-supervised active learning for graph-level classification
W Ju, Z Mao, Z Qiao, Y Qin, S Yi, Z Xiao, X Luo, Y Fu, M Zhang
Pattern Recognition 153, 110567, 2024
22024
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