Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion Z Zhang, F Zhuang, H Zhu, Z Shi, H Xiong, Q He AAAI 2020, 2020 | 212 | 2020 |
Pre-training enhanced spatial-temporal graph neural network for multivariate time series forecasting Z Shao, Z Zhang, F Wang, Y Xu Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 188 | 2022 |
Decoupled dynamic spatial-temporal graph neural network for traffic forecasting Z Shao, Z Zhang, W Wei, F Wang, Y Xu, X Cao, CS Jensen arXiv preprint arXiv:2206.09112, 2022 | 185 | 2022 |
Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting Z Shao, Z Zhang, F Wang, W Wei, Y Xu Proceedings of the 31st ACM International Conference on Information …, 2022 | 160 | 2022 |
Knowledge graph embedding with hierarchical relation structure Z Zhang, F Zhuang, M Qu, F Lin, Q He Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 93 | 2018 |
Positive-unlabeled learning with adversarial data augmentation for knowledge graph completion Z Tang, S Pei, Z Zhang, Y Zhu, F Zhuang, R Hoehndorf, X Zhang arXiv preprint arXiv:2205.00904, 2022 | 35 | 2022 |
Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis Z Shao, F Wang, Y Xu, W Wei, C Yu, Z Zhang, D Yao, G Jin, X Cao, ... arXiv preprint arXiv:2310.06119, 2023 | 29 | 2023 |
Along the time: timeline-traced embedding for temporal knowledge graph completion F Zhang, Z Zhang, X Ao, F Zhuang, Y Xu, Q He Proceedings of the 31st ACM International Conference on Information …, 2022 | 24 | 2022 |
Heterogeneous graph neural network with multi-view representation learning Z Shao, Y Xu, W Wei, F Wang, Z Zhang, F Zhu IEEE Transactions on Knowledge and Data Engineering 35 (11), 11476-11488, 2022 | 21 | 2022 |
Mind the gap: Cross-lingual information retrieval with hierarchical knowledge enhancement F Zhang, Z Zhang, X Ao, D Gao, F Zhuang, Y Wei, Q He Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4345-4353, 2022 | 18 | 2022 |
Artificial intelligence for science—bridging data to wisdom Y Xu, F Wang, Z An, Q Wang, Z Zhang The Innovation 4 (6), 2023 | 15 | 2023 |
Adversarial domain adaptation for cross-lingual information retrieval with multilingual BERT R Wang, Z Zhang, F Zhuang, D Gao, Y Wei, Q He Proceedings of the 30th ACM International Conference on Information …, 2021 | 14 | 2021 |
AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing F Wang, D Yao, Y Li, T Sun, Z Zhang The Innovation 4 (2), 2023 | 11 | 2023 |
BasicTS: an open source fair multivariate time series prediction benchmark Y Liang, Z Shao, F Wang, Z Zhang, T Sun, Y Xu International Symposium on Benchmarking, Measuring and Optimization, 87-101, 2022 | 10 | 2022 |
Data augmentation for few-shot knowledge graph completion from hierarchical perspective Y Yao, Z Zhang, Y Xu, C Li Proceedings of the 29th International Conference on Computational …, 2022 | 10 | 2022 |
Towards robust knowledge graph embedding via multi-task reinforcement learning Z Zhang, F Zhuang, H Zhu, C Li, H Xiong, Q He, Y Xu IEEE Transactions on Knowledge and Data Engineering 35 (4), 4321-4334, 2021 | 9 | 2021 |
Knowledge graph embedding with shared latent semantic units Z Zhang, F Zhuang, M Qu, ZY Niu, H Xiong, Q He Neural Networks, 2021 | 8 | 2021 |
Topic-aware intention network for explainable recommendation with knowledge enhancement Q Li, Z Zhang, F Zhuang, Y Xu, C Li ACM Transactions on Information Systems 41 (4), 1-23, 2023 | 7 | 2023 |
Ginar: An end-to-end multivariate time series forecasting model suitable for variable missing C Yu, F Wang, Z Shao, T Qian, Z Zhang, W Wei, Y Xu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 6 | 2024 |
FairGap: Fairness-aware recommendation via generating counterfactual graph W Chen, Y Wu, Z Zhang, F Zhuang, Z He, R Xie, F Xia ACM Transactions on Information Systems 42 (4), 1-25, 2024 | 6 | 2024 |