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Ke Liang
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年份
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal
K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu, F Sun, K He
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022
100*2022
Simple contrastive graph clustering
Y Liu, X Yang, S Zhou, X Liu, S Wang, K Liang, W Tu, L Li
IEEE Transactions on Neural Networks and Learning Systems, 2023
872023
Hard sample aware network for contrastive deep graph clustering
Y Liu, X Yang, S Zhou, X Liu, Z Wang, K Liang, W Tu, L Li, J Duan, ...
Proceedings of the AAAI conference on artificial intelligence (AAAI 23) 37 …, 2023
742023
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
K Liang, Y Liu, S Zhou, W Tu, Y Wen, X Yang, X Dong, X Liu
IEEE Transactions on Knowledge and Data Engineering, 2023
67*2023
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource
Y Liu, J Xia, S Zhou, X Yang, K Liang, C Fan, Y Zhuang, SZ Li, X Liu, K He
arXiv preprint arXiv:2211.12875, 2022
58*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, S Wang, S Zhou, X Liu
The Twelfth International Conference on Learning Representations (ICLR 2024), 2023
322023
Dink-net: Neural clustering on large graphs
Y Liu, K Liang, J Xia, S Zhou, X Yang, X Liu, SZ Li
Fortieth International Conference on Machine Learning (ICML 23), 2023
312023
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
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
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
242023
DealMVC: Dual Contrastive Calibration for Multi-view Clustering
X Yang, J Jin, S Wang, K Liang, Y Liu, Y Wen, S Liu, S Zhou, X Liu, E Zhu
The 31st ACM International Conference on Multimedia (ACM MM 23), 2023
202023
Unpaired multi-view graph clustering with cross-view structure matching
Y Wen, S Wang, Q Liao, W Liang, K Liang, X Wan, X Liu
IEEE Transactions on Neural Networks and Learning Systems, 2023
182023
Abslearn: a gnn-based framework for aliasing and buffer-size information retrieval
K Liang, J Tan, D Zeng, Y Huang, X Huang, G Tan
Pattern Analysis and Applications 26 (3), 1171-1189, 2023
172023
CONVERT: Contrastive Graph Clustering with Reliable Augmentation
X Yang, C Tan, Y Liu, K Liang, S Wang, S Zhou, J Xia, SZ Li, X Liu, E Zhu
The 31st ACM International Conference on Multimedia (ACM MM 23), 2023
152023
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 38 (9), 10645 …, 2024
14*2024
A Plug-and-Play Medical Knowledge Graph Assisted Generative Models for Medical Conversation Tasks
K Liang, S Wu, J Gu
arXiv, 2021
14*2021
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 23), 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
The 31st ACM International Conference on Multimedia (ACM MM 23), 2023
92023
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
IEEE Transactions on Neural Networks and Learning Systems, 2023
92023
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