Články se zplnomocněním k veřejnému přístupu - Yuanfu LuDalší informace
Nedostupné nikde: 1
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
Zplnomocnění: National Natural Science Foundation of China
Dostupné někde: 12
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
Zplnomocnění: National Natural Science Foundation of China, National Research Foundation …
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
Zplnomocnění: US National Science Foundation, National Natural Science Foundation of China
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
Zplnomocnění: National Natural Science Foundation of China
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
Zplnomocnění: National Natural Science Foundation of China
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
Zplnomocnění: National Natural Science Foundation of China
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
Zplnomocnění: National Natural Science Foundation of China, A*Star, Singapore
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
Zplnomocnění: National Natural Science Foundation of China
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
Zplnomocnění: National Natural Science Foundation of China, National Research Foundation …
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
Zplnomocnění: National Natural Science Foundation of China
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
Zplnomocnění: National Natural Science Foundation of China
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
Zplnomocnění: National Natural Science Foundation of China
Social influence attentive neural network for friend-enhanced recommendation.(2020)
Y LU, R XIE, C SHI, Y FANG, W WANG, X ZHANG, L LIN
Proceedings of The European Conference on Machine Learning and Principles …, 2020
Zplnomocnění: National Natural Science Foundation of China, National Research Foundation …
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