Learning Adaptive Node Embeddings Across Graphs
Guo, Gaoyang, Wang, Chaokun, Yan, Bencheng, Lou, Yunkai, Feng, Hao, Zhu, Junchao, Chen, Jun, He, Fei, Yu, Philip S.
Published in IEEE transactions on knowledge and data engineering (01.06.2023)
Published in IEEE transactions on knowledge and data engineering (01.06.2023)
Get full text
Journal Article
Fast Unsupervised Graph Embedding via Graph Zoom Learning
Liu, Ziyang, Wang, Chaokun, Lou, Yunkai, Feng, Hao
Published in 2023 IEEE 39th International Conference on Data Engineering (ICDE) (01.04.2023)
Published in 2023 IEEE 39th International Conference on Data Engineering (ICDE) (01.04.2023)
Get full text
Conference Proceeding
Time-topology analysis on temporal graphs
Lou, Yunkai, Wang, Chaokun, Gu, Tiankai, Feng, Hao, Chen, Jun, Yu, Jeffrey Xu
Published in The VLDB journal (01.07.2023)
Published in The VLDB journal (01.07.2023)
Get full text
Journal Article
OSMAC: Optimizing Subgraph Matching Algorithms with Community Structure
Lou, Yunkai, Wang, Chaokun
Published in 2019 IEEE 35th International Conference on Data Engineering (ICDE) (01.04.2019)
Published in 2019 IEEE 35th International Conference on Data Engineering (ICDE) (01.04.2019)
Get full text
Conference Proceeding
HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks
Gu, Tiankai, Wang, Chaokun, Wu, Cheng, Lou, Yunkai, Xu, Jingcao, Wang, Changping, Xu, Kai, Ye, Can, Song, Yang
Published in 2022 IEEE 38th International Conference on Data Engineering (ICDE) (01.05.2022)
Published in 2022 IEEE 38th International Conference on Data Engineering (ICDE) (01.05.2022)
Get full text
Conference Proceeding
Temporal Graph Generation Featuring Time-Bound Communities
Zheng, Shuwen, Wang, Chaokun, Wu, Cheng, Lou, Yunkai, Feng, Hao, Yang, Xuran
Published in 2024 IEEE 40th International Conference on Data Engineering (ICDE) (13.05.2024)
Published in 2024 IEEE 40th International Conference on Data Engineering (ICDE) (13.05.2024)
Get full text
Conference Proceeding
Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs
Liu, Ziyang, Wang, Chaokun, Yang, Liqun, Lou, Yunkai, Feng, Hao, Wu, Cheng, Zheng, Kai, Song, Yang
Published in 2024 IEEE 40th International Conference on Data Engineering (ICDE) (13.05.2024)
Published in 2024 IEEE 40th International Conference on Data Engineering (ICDE) (13.05.2024)
Get full text
Conference Proceeding
GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs
Feng, Hao, Wang, Chaokun, Liu, Ziyang, Lou, Yunkai, Liu, Zhenyu, Zhu, Xiaokun, Bao, Yongjun, Yan, Weipeng
Published in 2024 IEEE 40th International Conference on Data Engineering (ICDE) (13.05.2024)
Published in 2024 IEEE 40th International Conference on Data Engineering (ICDE) (13.05.2024)
Get full text
Conference Proceeding
A Graph-Native Query Optimization Framework
Lyu, Bingqing, Zhou, Xiaoli, Lai, Longbin, Yang, Yufan, Lou, Yunkai, Yu, Wenyuan, Zhou, Jingren
Year of Publication 31.01.2024
Year of Publication 31.01.2024
Get full text
Journal Article
HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks
Gu, Tiankai, Wang, Chaokun, Wu, Cheng, Xu, Jingcao, Lou, Yunkai, Wang, Changping, Xu, Kai, Ye, Can, Song, Yang
Year of Publication 03.08.2022
Year of Publication 03.08.2022
Get full text
Journal Article
A Graph-Native Query Optimization Framework
Lyu, Bingqing, Zhou, Xiaoli, Lai, Longbin, Yang, Yufan, Yunkai Lou, Yu, Wenyuan, Zhou, Jingren
Published in arXiv.org (05.02.2024)
Get full text
Published in arXiv.org (05.02.2024)
Paper
HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks
Gu, Tiankai, Wang, Chaokun, Wu, Cheng, Xu, Jingcao, Yunkai Lou, Wang, Changping, Xu, Kai, Ye, Can, Yang, Song
Published in arXiv.org (03.08.2022)
Get full text
Published in arXiv.org (03.08.2022)
Paper