| 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 | 1919 | 2019 |
| 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 | 1253 | 2021 |
| Deep Graph Contrastive Representation Learning Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang ICML Workshop on Graph Representation Learning and Beyond, 2020 | 1068 | 2020 |
| A Survey on Graph Structure Learning: Progress and Promise Y Zhu, S Zhang, Y Du, J Zhang, Y Sun, W Wang arXiv preprint arXiv:2103.03036, 2021 | 314* | 2021 |
| 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 | 279 | 2020 |
| 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 | 211 | 2021 |
| 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 | 210 | 2021 |
| 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 | 210 | 2019 |
| A Systematic Survey of Chemical Pre-trained Models J Xia, Y Zhu, Y Du, SZ Li Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 158* | 2023 |
| 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 42 (2), 493-506, 2023 | 157 | 2023 |
| Active Learning for Wireless IoT Intrusion Detection K Yang, J Ren, Y Zhu, W Zhang IEEE Wireless Communications 25 (6), 19-25, 2018 | 140 | 2018 |
| 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 | 127* | 2022 |
| SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models X Wang, Z Hu, P Lu, Y Zhu, J Zhang, S Subramaniam, AR Loomba, ... Proceedings of The Forty-First International Conference on Machine Learning, 2024 | 110 | 2024 |
| 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 | 105 | 2022 |
| Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation J Zhang, Y Zhu, Q Liu, M Zhang, S Wu, L Wang IEEE Transactions on Knowledge and Data Engineering 35 (9), 9154-9167, 2023 | 80 | 2023 |
| 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 | 67* | 2022 |
| Unsupervised Graph Representation Learning with Cluster-Aware Self-Training and Refining Y Zhu, Y Xu, F Yu, Q Liu, S Wu ACM Transactions on Intelligent Systems and Technology 14 (5), 82:1-82:21, 2023 | 54* | 2023 |
| 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 | 53 | 2021 |
| 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 | 46 | 2022 |
| GSLB: The Graph Structure Learning Benchmark Z Li, L Wang, X Sun, Y Luo, Y Zhu, D Chen, Y Luo, X Zhou, Q Liu, S Wu, ... Advances in Neural Information Processing Systems 36, 30306-30318, 2023 | 34 | 2023 |
Shu WuProfessor, Institute of Automation, Chinese Academy of Sciences確認したメール アドレス: nlpr.ia.ac.cn