| Knowledge-aware graph neural networks with label smoothness regularization for recommender systems H Wang, F Zhang, M Zhang, J Leskovec, M Zhao, W Li, Z Wang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 522 | 2019 |
| Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis K Zhang, K Zhang, M Zhang, H Zhao, Q Liu, W Wu, E Chen ACL Findings 2022, 2022 | 51 | 2022 |
| Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries X Liu, S Zhao, K Su, Y Cen, J Qiu, M Zhang, W Wu, Y Dong, J Tang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 42 | 2022 |
| STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation H Han, M Zhang, M Hou, F Zhang, Z Wang, E Chen, H Wang, J Ma, Q Liu 2020 IEEE International Conference on Data Mining (ICDM), 1052-1057, 2020 | 41 | 2020 |
| Learning the implicit semantic representation on graph-structured data L Wu, Z Li, H Zhao, Q Liu, J Wang, M Zhang, E Chen International Conference on Database Systems for Advanced Applications, 3-19, 2021 | 18 | 2021 |
| GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation Y Han, L Wu, H Wang, G Wang, M Zhang, Z Li, D Lian, E Chen DASFFA 2023, 2023 | 8 | 2023 |
| Ensemble Multi-Relational Graph Neural Networks Y Wang, H Xu, Y Yu, M Zhang, Z Li, Y Yang, W Wu IJCAI 2022, 2022 | 6 | 2022 |
| Learning Topic Hierarchies for Wikipedia Categories L Hu, X Wang, M Zhang, J Li, X Li, C Shao, J Tang, Y Liu Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 6 | 2015 |
| Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification K Zhang, Q Liu, Z Huang, M Cheng, K Zhang, M Zhang, W Wu, E Chen SIGIR 2022, 2022 | 4 | 2022 |
| Target Detection and Knowledge Learning for Domain Restricted Question Answering M Zhang, T Huang, Y Cao, L Hou Natural Language Processing and Chinese Computing, 325-336, 2015 | 4 | 2015 |
| M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation Z Huai, Y Yang, M Zhang, Z Zhang, Y Li, W Wu The 46th International ACM SIGIR Conference on Research and Development in …, 2023 | 2 | 2023 |
| Intent-aware Recommendation via Disentangled Graph Contrastive Learning Y Wang, X Wang, X Huang, Y Yu, H Li, M Zhang, Z Guo, W Wu International Joint Conferences on Artifical Intelligence (IJCAI) 2023, 2023 | 2 | 2023 |
| Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates D Liu, Y Yang, M Zhang, W Wu, X Xie, G Sun Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
| CNME: A System for Chinese News Meta-Data Extraction J Xia, F Xie, M Zhang, Y Su, H Luan Semantic Technology, 91-107, 2015 | 1 | 2015 |
| DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning Y Wang, K He, G Dong, P Wang, W Zeng, M Diao, Y Mou, M Zhang, ... arXiv preprint arXiv:2402.09136, 2024 | | 2024 |
| DPGN: Denoising Periodic Graph Network for Life Service Recommendation H Xu, H Chi, D Liu, S Zhou, M Zhang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification L Wu, J Jiang, H Zhao, H Wang, D Lian, M Zhang, E Chen International Joint Conferences on Artifical Intelligence (IJCAI) 2023, 2023 | | 2023 |
| CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Y Bei, H Xu, S Zhou, H Chi, M Zhang, Z Li, J Bu arXiv preprint arXiv:2307.02813, 2023 | | 2023 |
Wei Wu (武威)Researcher at Ant GroupVerified email at antgroup.com
