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 (IEEE T-PAMI), 2022
197 * 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
The 46th international ACM SIGIR conference (SIGIR 2023), 1559-1568, 2023
78 2023 Deep Temporal Graph Clustering M Liu, Y Liu, K Liang, W Tu, S Wang, S Zhou, X Liu
ICLR 2024, Best Paper of 2024 China Computational Power Conference, 2024
62 2024 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 (IEEE T-NNLS), 2024
55 2024 MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs K Liang, L Meng, S Zhou, W Tu, S Wang, Y Liu, M Liu, L Zhao, X Dong, ...
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024) 38 …, 2024
41 * 2024 Inductive representation learning in temporal networks via mining neighborhood and community influences M Liu, Y Liu
The 44th International ACM SIGIR Conference (SIGIR 2021), 2202-2206, 2021
39 2021 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
38 2023 Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning KE LIANG, L Meng, Y Liu, M Liu, W Wei, S Wang, S Liu, W Tu, X Liu
The 32nd ACM International Conference on Multimedia (ACM MM 2024), 1554-1563, 2024
34 * 2024 Graph mixup with soft alignments H Ling, Z Jiang, M Liu, S Ji, N Zou
International Conference on Machine Learning, 21335-21349, 2023
34 2023 Reinforcement graph clustering with unknown cluster number Y Liu, K Liang, J Xia, X Yang, S Zhou, M Liu, X Liu, SZ Li
The 31st ACM international conference on multimedia (ACM MM 2023), 3528-3537, 2023
24 2023 Curriculum contrastive learning for fake news detection J Ma, Y Liu, M Liu, M Han
CIKM 2022, 4309-4313, 2022
22 2022 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
The 31st ACM International Conference on Multimedia (ACM MM 2023), 3365-3374, 2023
21 2023 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 (IEEE T-NNLS), 2024
20 2024 Identifying critical test scenarios for lane keeping assistance system using analytic hierarchy process and hierarchical clustering R Song, X Li, X Zhao, M Liu, J Zhou, FY Wang
IEEE Transactions on Intelligent Vehicles, 2023
20 2023 Embedding global and local influences for dynamic graphs M Liu, J Wu, Y Liu
CIKM 2022, 4249-4253, 2022
19 2022 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
17 2022 G H Yu, C Ma, M Liu, T Du, M Ding, T Xiang, S Ji, X Liu
arXiv preprint arXiv:2306.04984, 2023
12 2023 A dynamic heterogeneous graph perception network with time-based mini-batch for information diffusion prediction W Fan, M Liu, Y Liu
DASFAA 2022, 604-612, 2022
12 2022 Multi-modal transformer for fake news detection P Yang, J Ma, Y Liu, M Liu
Mathematical Biosciences and Engineering 20 (8), 14699-14717, 2023
11 2023 SageDy: A novel sampling and aggregating based representation learning approach for dynamic networks J Wu, M Liu, J Fan, Y Liu, M Han
30th International Conference on Artificial Neural Networks (ICANN 2021), 3-15, 2021
7 2021 
Xinwang LiuSenior Member of IEEE and CCF, NUDTAdresse e-mail validée de nudt.edu.cn