Cheng Ji
Cheng Ji
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Dynamic Graph Information Bottleneck
H Yuan, Q Sun, X Fu, C Ji, J Li
Proceedings of the ACM on Web Conference 2024, 469-480, 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
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
arXiv preprint arXiv:2407.00615, 2024
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, 106479, 2024
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