| 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, ... arXiv preprint arXiv:2302.09419, 2023 | 310 | 2023 |
| 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 | 110 | 2019 |
| 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 | 104 | 2022 |
| 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 | 27 | 2022 |
| 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 | 26 | 2021 |
| 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 | 16 | 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 | 13 | 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, 2024 | 10 | 2024 |
| 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 | 10 | 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 | 7 | 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 | 6 | 2023 |
| 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 | 4 | 2023 |
| 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, 2024 | 3 | 2024 |
| 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 | 2 | 2022 |
| RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved J Li, C Ji, H Peng, Y He, Y Song, X Zhang, F Peng Journal of Artificial Intelligence Research 71, 237-263, 2021 | 2 | 2021 |
| 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 | 1 | 2023 |
| 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 | | 2024 |
| Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion Q Li, S Guo, Y Chen, C Ji, J Sheng, J Li arXiv preprint arXiv:2403.04521, 2024 | | 2024 |
| Dynamic Graph Information Bottleneck H Yuan, Q Sun, X Fu, C Ji, J Li arXiv preprint arXiv:2402.06716, 2024 | | 2024 |
| Adaptive curvature exploration geometric graph neural network X Fu, J Li, J Wu, J Qin, Q Sun, C Ji, S Wang, H Peng, PS Yu Knowledge and Information Systems 65 (5), 2281-2304, 2023 | | 2023 |
