Yuyang Ren

According to our database, Yuyang Ren authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning.

Yuyang Ren, Haonan Zhang, Luoyi Fu, Shiyu Liang, Lei Zhou, Xinbing Wang, Xinde Cao, Fei Long, Chenghu Zhou

ACM Trans. Knowl. Discov. Data, May, 2024

Multi-Scale Self-Supervised Graph Contrastive Learning With Injective Node Augmentation.

Haonan Zhang, Yuyang Ren, Luoyi Fu, Xinbing Wang, Guihai Chen, Chenghu Zhou

IEEE Trans. Knowl. Data Eng., January, 2024

AceMap: Knowledge Discovery through Academic Graph.

Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou

CoRR, 2024

2023

Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization.

Yuyang Ren, Haonan Zhang, Peng Yu, Luoyi Fu, Xinde Cao, Xinbing Wang, Guihai Chen, Fei Long, Chenghu Zhou

ACM Trans. Knowl. Discov. Data, June, 2023

Distillation-Enhanced Graph Masked Autoencoders for Bundle Recommendation.

Yuyang Ren, Haonan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Self-supervised Graph Disentangled Networks for Review-based Recommendation.

Yuyang Ren, Haonan Zhang, Qi Li, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

IdeaReader: A Machine Reading System for Understanding the Idea Flow of Scientific Publications.

Qi Li, Yuyang Ren, Xingli Wang, Luoyi Fu, Jiaxin Ding, Xinde Cao, Xinbing Wang, Chenghu Zhou

CoRR, 2022

Disentangled Graph Contrastive Learning for Review-based Recommendation.

Yuyang Ren, Haonan Zhang, Qi Li, Luoyi Fu, Jiaxin Ding, Xinde Cao, Xinbing Wang, Chenghu Zhou

CoRR, 2022