| Transformer for graphs: An overview from architecture perspective E Min, R Chen, Y Bian, T Xu, K Zhao, W Huang, P Zhao, J Huang, ... arXiv preprint arXiv:2202.08455, 2022 | 92 | 2022 |
| Natural language question/answering: Let users talk with the knowledge graph W Zheng, H Cheng, L Zou, JX Yu, K Zhao Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 82 | 2017 |
| Interactive natural language question answering over knowledge graphs W Zheng, H Cheng, JX Yu, L Zou, K Zhao Information Sciences 481, 141-159, 2019 | 60 | 2019 |
| All-in-one: Graph processing in RDBMSs revisited K Zhao, JX Yu Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 55 | 2017 |
| Dirichlet graph variational autoencoder J Li, J Yu, J Li, H Zhang, K Zhao, Y Rong, H Cheng, J Huang Advances in Neural Information Processing Systems 33, 5274-5283, 2020 | 43 | 2020 |
| A learned sketch for subgraph counting K Zhao, JX Yu, H Zhang, Q Li, Y Rong Proceedings of the 2021 International Conference on Management of Data, 2142 …, 2021 | 29 | 2021 |
| Query driven-graph neural networks for community search: from non-attributed, attributed, to interactive attributed Y Jiang, Y Rong, H Cheng, X Huang, K Zhao, J Huang arXiv preprint arXiv:2104.03583, 2021 | 25 | 2021 |
| Distributed subgraph counting: a general approach H Zhang, JX Yu, Y Zhang, K Zhao, H Cheng Proceedings of the VLDB Endowment 13 (12), 2493-2507, 2020 | 18 | 2020 |
| Finding critical users in social communities via graph convolutions K Zhao, Z Zhang, Y Rong, JX Yu, J Huang IEEE Transactions on Knowledge and Data Engineering 35 (1), 456-468, 2021 | 13 | 2021 |
| Lightweight and accurate cardinality estimation by neural network gaussian process K Zhao, JX Yu, Z He, R Li, H Zhang Proceedings of the 2022 International Conference on Management of Data, 973-987, 2022 | 11 | 2022 |
| Robust attributed graph alignment via joint structure learning and optimal transport J Tang, W Zhang, J Li, K Zhao, F Tsung, J Li 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1638-1651, 2023 | 10 | 2023 |
| Towards feature-free TSP solver selection: A deep learning approach K Zhao, S Liu, JX Yu, Y Rong 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 9 | 2021 |
| Graph Processing in RDBMSs. K Zhao, JX Yu IEEE Data Eng. Bull. 40 (3), 6-17, 2017 | 7 | 2017 |
| Learned sketch for subgraph counting: a holistic approach K Zhao, JX Yu, Q Li, H Zhang, Y Rong The VLDB Journal 32 (5), 937-962, 2023 | 6 | 2023 |
| A fused gromov-wasserstein framework for unsupervised knowledge graph entity alignment J Tang, K Zhao, J Li arXiv preprint arXiv:2305.06574, 2023 | 5 | 2023 |
| Qd-gcn: query-driven graph convolutional networks for attributed community search Y Jiang, Y Rong, H Cheng, X Huang, K Zhao, J Huang arXiv preprint arXiv:2104.03583, 2021 | 5 | 2021 |
| Graph ordering: Towards the optimal by learning K Zhao, Y Rong, JX Yu, W Huang, J Huang, H Zhang Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021 | 5 | 2021 |
| Community search: a meta-learning approach S Fang, K Zhao, G Li, JX Yu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2358-2371, 2023 | 4 | 2023 |
| Community search: Learn from small data S Fang, K Zhao, G Li, JX Yu arXiv e-prints, arXiv: 2201.00288, 2022 | 4 | 2022 |
| Uncertainty-aware cardinality estimation by neural network gaussian process K Zhao, JX Yu, Z He, H Zhang arXiv preprint arXiv:2107.08706, 2021 | 4 | 2021 |
