| A comprehensive survey on pretrained foundation models: A history from bert to chatgpt C Zhou, Q Li, C Li, J Yu, Y Liu, G Wang, K Zhang, C Ji, Q Yan, L He, ... International Journal of Machine Learning and Cybernetics, 1-65, 2024 | 628 | 2024 |
| Graph structure learning with variational information bottleneck Q Sun, J Li, H Peng, J Wu, X Fu, C Ji, SY Philip Proceedings of the AAAI conference on artificial intelligence 36 (4), 4165-4174, 2022 | 176 | 2022 |
| Hetespaceywalk: A heterogeneous spacey random walk for heterogeneous information network embedding Y He, Y Song, J Li, C Ji, J Peng, H Peng Proceedings of the 28th ACM international conference on information and …, 2019 | 130 | 2019 |
| Position-aware structure learning for graph topology-imbalance by relieving under-reaching and over-squashing Q Sun, J Li, H Yuan, X Fu, H Peng, C Ji, Q Li, PS Yu Proceedings of the 31st ACM International Conference on Information …, 2022 | 49 | 2022 |
| Does graph distillation see like vision dataset counterpart? B Yang, K Wang, Q Sun, C Ji, X Fu, H Tang, Y You, J Li Advances in Neural Information Processing Systems 36, 53201-53226, 2023 | 38 | 2023 |
| Attribute-consistent knowledge graph representation learning for multi-modal entity alignment Q Li, S Guo, Y Luo, C Ji, L Wang, J Sheng, J Li Proceedings of the ACM Web Conference 2023, 2499-2508, 2023 | 38 | 2023 |
| ACE-HGNN: Adaptive curvature exploration hyperbolic graph neural network X Fu, J Li, J Wu, Q Sun, C Ji, S Wang, J Tan, H Peng, SY Philip 2021 IEEE international conference on data mining (ICDM), 111-120, 2021 | 34 | 2021 |
| Environment-aware dynamic graph learning for out-of-distribution generalization H Yuan, Q Sun, X Fu, Z Zhang, C Ji, H Peng, J Li Advances in Neural Information Processing Systems 36, 49715-49747, 2023 | 19 | 2023 |
| Dynamic graph information bottleneck H Yuan, Q Sun, X Fu, C Ji, J Li Proceedings of the ACM Web Conference 2024, 469-480, 2024 | 18 | 2024 |
| Multi-modal knowledge graph transformer framework for multi-modal entity alignment Q Li, C Ji, S Guo, Z Liang, L Wang, J Li arXiv preprint arXiv:2310.06365, 2023 | 17 | 2023 |
| Curvature graph generative adversarial networks J Li, X Fu, Q Sun, C Ji, J Tan, J Wu, H Peng Proceedings of the ACM web conference 2022, 1528-1537, 2022 | 16 | 2022 |
| Dual-gated fusion with prefix-tuning for multi-modal relation extraction Q Li, S Guo, C Ji, X Peng, S Cui, J Li arXiv preprint arXiv:2306.11020, 2023 | 15 | 2023 |
| Type information utilized event detection via multi-channel gnns in electrical power systems Q Li, J Li, L Wang, C Ji, Y Hei, J Sheng, Q Sun, S Xue, P Xie ACM Transactions on the Web 17 (3), 1-26, 2023 | 13 | 2023 |
| Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding C Ji, T Zhao, Q Sun, X Fu, J Li Pattern Recognition 143, 109766, 2023 | 12 | 2023 |
| Gc-bench: An open and unified benchmark for graph condensation Q Sun, Z Chen, B Yang, C Ji, X Fu, S Zhou, H Peng, J Li, PS Yu Advances in Neural Information Processing Systems 37, 37900-37927, 2025 | 8 | 2025 |
| Unbiased and efficient self-supervised incremental contrastive learning C Ji, J Li, H Peng, J Wu, X Fu, Q Sun, PS Yu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 7 | 2023 |
| Muchsum: Multi-channel graph neural network for extractive summarization Q Mao, H Zhu, J Liu, C Ji, H Peng, J Li, L Wang, Z Wang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 7 | 2022 |
| Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment Q Li, J Li, J Wu, X Peng, C Ji, H Peng, L Wang, SY Philip Neural Networks 179, 106479, 2024 | 4 | 2024 |
| ReGCL: rethinking message passing in graph contrastive learning C Ji, Z Huang, Q Sun, H Peng, X Fu, Q Li, J Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8544-8552, 2024 | 4 | 2024 |
| LLM-based multi-level knowledge generation for few-shot knowledge graph completion Q Li, Z Chen, C Ji, S Jiang, J Li Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 3 | 2024 |
