| DKN: Deep Knowledge-Aware Network for News Recommendation H Wang, F Zhang, X Xie, M Guo The World Wide Web Conference, 1835-1844, 2018 | 993 | 2018 |
| RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo ACM International Conference on Information and Knowledge Management, 417-426, 2018 | 956 | 2018 |
| Knowledge Graph Convolutional Networks for Recommender Systems H Wang, M Zhao, X Xie, W Li, M Guo The World Wide Web Conference, 3307-3313, 2019 | 715 | 2019 |
| Graphgan: Graph representation learning with generative adversarial nets H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, X Xie, M Guo Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 649 | 2018 |
| Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation H Wang, F Zhang, M Zhao, W Li, X Xie, M Guo The World Wide Web Conference, 2000-2010, 2019 | 471 | 2019 |
| 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 ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 968-977, 2019 | 462 | 2019 |
| SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction H Wang, F Zhang, M Hou, X Xie, M Guo, Q Liu ACM International Conference on Web Search and Data Mining, 592-600, 2018 | 345 | 2018 |
| Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning P Li, Y Wang, H Wang, J Leskovec Neural Information Processing Systems, 4465-4478, 2020 | 252* | 2020 |
| Combining Graph Convolutional Neural Networks and Label Propagation H Wang, J Leskovec ACM Transactions on Information Systems 40 (4), 1-27, 2021 | 169* | 2021 |
| Relational Message Passing for Knowledge Graph Completion H Wang, H Ren, J Leskovec ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 1697-1707, 2021 | 118* | 2021 |
| Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo ACM Transactions on Information Systems 37 (3), 1-26, 2019 | 106 | 2019 |
| Lipschitz Generative Adversarial Nets Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang International Conference on Machine Learning, 7584-7593, 2019 | 97* | 2019 |
| MeLoDy: A Long-Term Dynamic Quality-Aware Incentive Mechanism for Crowdsourcing H Wang, S Guo, J Cao, M Guo IEEE Transactions on Parallel and Distributed Systems 29 (4), 901-914, 2017 | 89 | 2017 |
| Collaborative Filtering-Based Recommendation of Online Social Voting X Yang, C Liang, M Zhao, H Wang, H Ding, Y Liu, Y Li, J Zhang IEEE Transactions on Computational Social Systems 4 (1), 1-13, 2017 | 66 | 2017 |
| Learning Graph Representation with Generative Adversarial Nets H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, W Li, X Xie, M Guo IEEE Transactions on Knowledge and Data Engineering 33 (8), 3090-3103, 2019 | 65 | 2019 |
| AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods Z Zhou, Q Zhang, G Lu, H Wang, W Zhang, Y Yu International Conference on Learning Representations, 2018 | 62 | 2018 |
| Towards Scalable and Reliable In-Memory Storage System: A Case Study with Redis S Chen, X Tang, H Wang, H Zhao, M Guo IEEE Trustcom/BigDataSE/ISPA, 1660-1667, 2016 | 40 | 2016 |
| Chemical-Reaction-Aware Molecule Representation Learning H Wang, W Li, X Jin, K Cho, H Ji, J Han, MD Burke International Conference on Learning Representations, 2021 | 38 | 2021 |
| 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 IEEE International Conference on Data Mining, 1052-1057, 2020 | 34 | 2020 |
| Practical Lessons for Job Recommendations in the Cold-Start Scenario J Lian, F Zhang, M Hou, H Wang, X Xie, G Sun Recommender Systems Challenge 2017, 1-6, 2017 | 34 | 2017 |
Minyi GuoIEEE Fellow, Chair Professor, Shanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
