Meta-learning on heterogeneous information networks for cold-start recommendation Y Lu, Y Fang, C Shi Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 245 | 2020 |
Temporal network embedding with micro-and macro-dynamics Y Lu, X Wang, C Shi, PS Yu, Y Ye Proceedings of the 28th ACM international conference on information and …, 2019 | 135 | 2019 |
Relation Structure-aware Heterogeneous Information Network Embedding Y Lu, C Shi, L Hu, Z Liu Proceedings of the AAAI Conference on Artificial Intelligence 33, 4456-4463, 2019 | 133 | 2019 |
Dynamic heterogeneous information network embedding with meta-path based proximity X Wang, Y Lu, C Shi, R Wang, P Cui, S Mou IEEE Transactions on Knowledge and Data Engineering 34 (3), 1117-1132, 2020 | 120 | 2020 |
Learning to pre-train graph neural networks Y Lu, X Jiang, Y Fang, C Shi Proceedings of the AAAI conference on artificial intelligence 35 (5), 4276-4284, 2021 | 115 | 2021 |
Contrastive pre-training of GNNs on heterogeneous graphs X Jiang, Y Lu, Y Fang, C Shi Proceedings of the 30th ACM International Conference on Information …, 2021 | 43 | 2021 |
Few-shot link prediction in dynamic networks C Yang, C Wang, Y Lu, X Gong, C Shi, W Wang, X Zhang Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 42 | 2022 |
Social influence attentive neural network for friend-enhanced recommendation Y Lu, R Xie, C Shi, Y Fang, W Wang, X Zhang, L Lin ECML/PKDD, 3-18, 2020 | 28 | 2020 |
Long short-term temporal meta-learning in online recommendation R Xie, Y Wang, R Wang, Y Lu, Y Zou, F Xia, L Lin Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 25 | 2022 |
RHINE: Relation structure-aware heterogeneous information network embedding C Shi, Y Lu, L Hu, Z Liu, H Ma IEEE Transactions on Knowledge and Data Engineering 34 (1), 433-447, 2020 | 25 | 2020 |
Sequence-aware heterogeneous graph neural collaborative filtering C Li, L Hu, C Shi, G Song, Y Lu Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 23 | 2021 |
Package Recommendation with Intra-and Inter-Package Attention Networks C Li, Y Lu, W Wang, C Shi, R Xie, H Yang, C Yang, X Zhang, L Lin SIGIR, 2021 | 16 | 2021 |
Influence Maximization in Multi-Relational Social Networks W Wang, H Yang, Y Lu, Y Zou, X Zhang, S Guo, L Lin CIKM2021, 2021 | 9 | 2021 |
Representation learning with depth and breadth for recommendation using multi-view data X Han, C Shi, L Zheng, PS Yu, J Li, Y Lu Web and Big Data: Second International Joint Conference, APWeb-WAIM 2018 …, 2018 | 8 | 2018 |
Group-to-group recommendation with neural graph matching C Wang, W Wang, C Yang, C Shi, R Xie, Y Lu, H Yang, X Zhang World Wide Web 27 (2), 19, 2024 | | 2024 |
Contrastive pre-training of GNNs on heterogeneous graphs.(2021) X JIANG, Y LU, Y FANG, C SHI CIKM 21, 1-5, 0 | | |