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, 2024 | 100* | 2024 |
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 | 39 | 2023 |
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 | 24 | 2023 |
Mixed graph contrastive network for semi-supervised node classification X Yang, Y Wang, Y Liu, Y Wen, L Meng, S Zhou, X Liu, E Zhu ACM Transactions on Knowledge Discovery from Data, 2024 | 20 | 2024 |
Message Intercommunication for Inductive Relation Reasoning K Liang, L Meng, S Zhou, S Wang, W Tu, Y Liu, M Liu, X Liu Proceedings of the 37th AAAI conference on artificial intelligence (AAAI-24), 2023 | 13 | 2023 |
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 | 9 | 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 IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023 | 9 | 2023 |
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 | 1 | 2024 |