Yunkai Lou

22 papers A* 7Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hypergraph-Based Framework for Exploratory Business Intelligence.
CoRR
Yunkai Lou, Shunyang Li, Longbin Lai, Jianke Yu, Wenyuan Yu, Ying Zhang
2025 J jnl
A Graph-native Optimization Framework for Complex Graph Queries.
CoRR
Bingqing Lyu, Xiaoli Zhou, Longbin Lai, Yufan Yang, Yunkai Lou, Wenyuan Yu, Jingren Zhou
2025 — conf
A Modular Graph-Native Query Optimization Framework.
SIGMOD Conference Companion
Bingqing Lyu, Xiaoli Zhou, Longbin Lai, Yufan Yang, Yunkai Lou, Wenyuan Yu, Ying Zhang, Jingren Zhou
2025 J jnl
Graph Data Model and Graph Query Language Based on the Monadic Second-Order Logic.
IEEE Trans. Big Data
Yunkai Lou, Chaokun Wang, Songyao Wang
2025 — conf
Graphy'our Data: Towards End-to-End Modeling, Exploring and Generating Report from Raw Data.
SIGMOD Conference Companion
Longbin Lai, Changwei Luo, Yunkai Lou, Mingchen Ju, Zhengyi Yang
2025 J jnl
Graphy'our Data: Towards End-to-End Modeling, Exploring and Generating Report from Raw Data.
CoRR
Longbin Lai, Changwei Luo, Yunkai Lou, Mingchen Ju, Zhengyi Yang
2024 J jnl
A Generalized Community-Structure-Aware Optimization Framework for Efficient Subgraph Matching in Social Network Analysis.
IEEE Trans. Comput. Soc. Syst.
Yunkai Lou, Chaokun Wang
2024 J jnl
A Graph-Native Query Optimization Framework.
CoRR
Bingqing Lyu, Xiaoli Zhou, Longbin Lai, Yufan Yang, Yunkai Lou, Wenyuan Yu, Jingren Zhou
2024 — conf
Enhancing Neo4j Query Efficiency with Seamless Integration of the GOpt Optimization Framework.
VLDB Workshops
Bingqing Lyu, Xiaoli Zhou, Longbin Lai, Yufan Yang, Yunkai Lou, Yongfei Liu
2024 A* conf
GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs.
ICDE
Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan
2024 A* conf
Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs.
ICDE
Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song
2024 A* conf
Temporal Graph Generation Featuring Time-Bound Communities.
ICDE
Shuwen Zheng, Chaokun Wang, Cheng Wu, Yunkai Lou, Hao Feng, Xuran Yang
2024 J jnl
Towards a Converged Relational-Graph Optimization Framework.
CoRR
Yunkai Lou, Longbin Lai, Bingqing Lyu, Yufan Yang, Xiaoli Zhou, Wenyuan Yu, Ying Zhang, Jingren Zhou
2024 J jnl
Towards a Converged Relational-Graph Optimization Framework.
Proc. ACM Manag. Data
Yunkai Lou, Longbin Lai, Bingqing Lyu, Yufan Yang, Xiaoli Zhou, Wenyuan Yu, Ying Zhang, Jingren Zhou
2023 A* conf
Fast Unsupervised Graph Embedding via Graph Zoom Learning.
ICDE
Ziyang Liu, Chaokun Wang, Yunkai Lou, Hao Feng
2023 J jnl
Learning Adaptive Node Embeddings Across Graphs.
IEEE Trans. Knowl. Data Eng.
Gaoyang Guo, Chaokun Wang, Bencheng Yan, Yunkai Lou, Hao Feng, Junchao Zhu, Jun Chen, Fei He, Philip S. Yu
2023 J jnl
Time-topology analysis on temporal graphs.
VLDB J.
Yunkai Lou, Chaokun Wang, Tiankai Gu, Hao Feng, Jun Chen, Jeffrey Xu Yu
2022 A* conf
HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks.
ICDE
Tiankai Gu, Chaokun Wang, Cheng Wu, Yunkai Lou, Jingcao Xu, Changping Wang, Kai Xu, Can Ye, Yang Song
2022 J jnl
HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks.
CoRR
Tiankai Gu, Chaokun Wang, Cheng Wu, Jingcao Xu, Yunkai Lou, Changping Wang, Kai Xu, Can Ye, Yang Song
2021 J jnl
Time-Topology Analysis.
Proc. VLDB Endow.
Yunkai Lou, Chaokun Wang, Tiankai Gu, Hao Feng, Jun Chen, Jeffrey Xu Yu
2020 A* conf
TinyGNN: Learning Efficient Graph Neural Networks.
KDD
Bencheng Yan, Chaokun Wang, Gaoyang Guo, Yunkai Lou
2019 A* conf
OSMAC: Optimizing Subgraph Matching Algorithms with Community Structure.
ICDE
Yunkai Lou, Chaokun Wang