| Temporal knowledge graph reasoning with historical contrastive learning Y Xu, J Ou, H Xu, L Fu Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4765-4773, 2023 | 35 | 2023 |
| GAKG: A multimodal geoscience academic knowledge graph C Deng, Y Jia, H Xu, C Zhang, J Tang, L Fu, W Zhang, H Zhang, X Wang, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 31 | 2021 |
| Speedup robust graph structure learning with low-rank information H Xu, L Xiang, J Yu, A Cao, X Wang Proceedings of the 30th ACM International Conference on Information …, 2021 | 19 | 2021 |
| GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance S Zhang, H Xu, Y Jia, Y Wen, D Wang, L Fu, X Wang, C Zhou Geoscience Data Journal 10 (4), 519-537, 2023 | 8 | 2023 |
| Tracing truth and rumor diffusions over mobile social networks: Who are the initiators? S Qu, H Xu, L Fu, H Long, X Wang, G Chen, C Zhou IEEE Transactions on Mobile Computing 22 (4), 2473-2490, 2021 | 6 | 2021 |
| Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related Biases H Xu, L Xiang, F Huang, Y Weng, R Xu, X Wang, C Zhou Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| High-order relation construction and mining for graph matching H Xu, L Xiang, Y Le, X Gan, Y Jia, L Fu, X Wang arXiv preprint arXiv:2010.04348, 2020 | 3 | 2020 |
| Open-World Graph Active Learning for Node Classification H Xu, L Xiang, J Ou, Y Weng, X Wang, C Zhou ACM Transactions on Knowledge Discovery from Data 18 (2), 1-20, 2023 | 2 | 2023 |
| Distributional Learning for Network Alignment with Global Constraints H Xu, L Xiang, X Gan, L Fu, X Wang, C Zhou ACM Transactions on Knowledge Discovery from Data 18 (4), 1-16, 2024 | | 2024 |
| Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation Y Xu, J Ou, H Xu, L Fu, L Zhou, X Wang, C Zhou arXiv preprint arXiv:2308.15002, 2023 | | 2023 |
| Improving Differentially-Private Deep Learning with Gradients Index Pruning J Yang, L Xiang, S Peng, Y Bao, H Xu, P Chu, X Wang, C Zhou | | 2022 |
