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Meng Liu
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A survey of knowledge graph reasoning on graph types: Static, dynamic, and multimodal
K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu, F Sun
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
101*2022
Learn from relational correlations and periodic events for temporal knowledge graph reasoning
K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu
Proceedings of the 46th international ACM SIGIR conference on research and …, 2023
392023
Deep Temporal Graph Clustering
M Liu, Y Liu, K Liang, W Tu, S Wang, S Zhou, X Liu
The 12th International Conference on Learning Representations, 2024
322024
Inductive representation learning in temporal networks via mining neighborhood and community influences
M Liu, Y Liu
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
312021
Self-supervised temporal graph learning with temporal and structural intensity alignment
M Liu, K Liang, Y Zhao, W Tu, S Zhou, X Gan, X Liu, K He
IEEE Transactions on Neural Networks and Learning Systems, 2024
262024
Structure guided multi-modal pre-trained transformer for knowledge graph reasoning
K Liang, S Zhou, Y Liu, L Meng, M Liu, X Liu
arXiv preprint arXiv:2307.03591, 2023
252023
scDFC: a deep fusion clustering method for single-cell RNA-seq data
D Hu, K Liang, S Zhou, W Tu, M Liu, X Liu
Briefings in Bioinformatics 24 (4), bbad216, 2023
252023
Curriculum contrastive learning for fake news detection
J Ma, Y Liu, M Liu, M Han
Proceedings of the 31st ACM International Conference on Information …, 2022
182022
Embedding temporal networks inductively via mining neighborhood and community influences
M Liu, ZW Quan, JM Wu, Y Liu, M Han
Applied Intelligence 52 (14), 16069-16088, 2022
172022
Embedding global and local influences for dynamic graphs
M Liu, J Wu, Y Liu
Proceedings of the 31st ACM international conference on information …, 2022
172022
Message intercommunication for inductive relation reasoning
K Liang, L Meng, S Zhou, S Wang, W Tu, Y Liu, M Liu, X Liu
arXiv preprint arXiv:2305.14074, 2023
132023
A dynamic heterogeneous graph perception network with time-based mini-batch for information diffusion prediction
W Fan, M Liu, Y Liu
International Conference on Database Systems for Advanced Applications, 604-612, 2022
102022
SARF: Aliasing Relation–Assisted Self-Supervised Learning for Few-Shot Relation Reasoning
L Meng, K Liang, B Xiao, S Zhou, Y Liu, M Liu, X Yang, X Liu, J Li
IEEE Transactions on Neural Networks and Learning Systems, 2024
92024
Tmac: Temporal multi-modal graph learning for acoustic event classification
M Liu, K Liang, D Hu, H Yu, Y Liu, L Meng, W Tu, S Zhou, X Liu
Proceedings of the 31st ACM International Conference on Multimedia, 3365-3374, 2023
92023
Reinforcement graph clustering with unknown cluster number
Y Liu, K Liang, J Xia, X Yang, S Zhou, M Liu, X Liu, SZ Li
Proceedings of the 31st ACM international conference on multimedia, 3528-3537, 2023
92023
Multi-modal transformer for fake news detection
P Yang, J Ma, Y Liu, M Liu
Mathematical Biosciences and Engineering 20 (8), 14699-14717, 2023
72023
SageDy: A novel sampling and aggregating based representation learning approach for dynamic networks
J Wu, M Liu, J Fan, Y Liu, M Han
Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021
62021
GuardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering
H Yu, C Ma, M Liu, T Du, M Ding, T Xiang, S Ji, X Liu
arXiv preprint arXiv:2306.04984, 2023
42023
Network representation learning algorithm based on neighborhood influence sequence
M Liu, Z Quan, Y Liu
Asian Conference on Machine Learning, 609-624, 2020
22020
Hawkes-enhanced spatial-temporal hypergraph contrastive learning based on criminal correlations
K Liang, S Zhou, M Liu, Y Liu, W Tu, Y Zhang, L Fang, Z Liu, X Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8733-8741, 2024
12024
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