OSMAC: Optimizing Subgraph Matching Algorithms with Community Structure. - Yunkai Lou; Chaokun Wang (ICDE, 2019)

TinyGNN: Learning Efficient Graph Neural Networks. - Bencheng Yan; Chaokun Wang; Gaoyang Guo; Yunkai Lou (KDD, 2020)

Time-Topology Analysis. - Yunkai Lou; Chaokun Wang; Tiankai Gu; Hao Feng 007; Jun Chen 004; Jeffrey Xu Yu (Proc. VLDB Endow., 2021)

HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks. - Tiankai Gu; Chaokun Wang; Cheng Wu; Yunkai Lou; Jingcao Xu; Changping Wang; Kai Xu; Can Ye; Yang Song 008 (ICDE, 2022)

HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks. - Tiankai Gu; Chaokun Wang; Cheng Wu; Jingcao Xu; Yunkai Lou; Changping Wang; Kai Xu; Can Ye; Yang Song 008 (CoRR, 2022)

Fast Unsupervised Graph Embedding via Graph Zoom Learning. - Ziyang Liu 004; Chaokun Wang; Yunkai Lou; Hao Feng 007 (ICDE, 2023)

Learning Adaptive Node Embeddings Across Graphs. - Gaoyang Guo; Chaokun Wang; Bencheng Yan; Yunkai Lou; Hao Feng 007; Junchao Zhu; Jun Chen 004; Fei He 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Time-topology analysis on temporal graphs. - Yunkai Lou; Chaokun Wang; Tiankai Gu; Hao Feng 007; Jun Chen 004; Jeffrey Xu Yu (VLDB J., 2023)

GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs. - Hao Feng 007; Chaokun Wang; Ziyang Liu 004; Yunkai Lou; Zhenyu Liu; Xiaokun Zhu; Yongjun Bao; Weipeng Yan (ICDE, 2024)

Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs. - Ziyang Liu 004; Chaokun Wang; Liqun Yang; Yunkai Lou; Hao Feng 007; Cheng Wu; Kai Zheng 001; Yang Song 008 (ICDE, 2024)

Temporal Graph Generation Featuring Time-Bound Communities. - Shuwen Zheng; Chaokun Wang; Cheng Wu; Yunkai Lou; Hao Feng 007; Xuran Yang (ICDE, 2024)

Enhancing Neo4j Query Efficiency with Seamless Integration of the GOpt Optimization Framework. - Bingqing Lyu; Xiaoli Zhou; Longbin Lai; Yufan Yang; Yunkai Lou; Yongfei Liu (VLDB Workshops, 2024)

A Graph-Native Query Optimization Framework. - Bingqing Lyu; Xiaoli Zhou; Longbin Lai; Yufan Yang; Yunkai Lou; Wenyuan Yu; Jingren Zhou 001 (CoRR, 2024)

A Generalized Community-Structure-Aware Optimization Framework for Efficient Subgraph Matching in Social Network Analysis. - Yunkai Lou; Chaokun Wang (IEEE Trans. Comput. Soc. Syst., 2024)

Towards a Converged Relational-Graph Optimization Framework. - Yunkai Lou; Longbin Lai; Bingqing Lyu; Yufan Yang; Xiaoli Zhou; Wenyuan Yu; Ying Zhang 001; Jingren Zhou 001 (Proc. ACM Manag. Data, 2024)

Graphy'our Data: Towards End-to-End Modeling, Exploring and Generating Report from Raw Data. - Longbin Lai; Changwei Luo; Yunkai Lou; Mingchen Ju; Zhengyi Yang 001 (SIGMOD Conference Companion, 2025)

A Modular Graph-Native Query Optimization Framework. - Bingqing Lyu; Xiaoli Zhou; Longbin Lai; Yufan Yang; Yunkai Lou; Wenyuan Yu; Ying Zhang 001; Jingren Zhou 001 (SIGMOD Conference Companion, 2025)

A Graph-native Optimization Framework for Complex Graph Queries. - Bingqing Lyu; Xiaoli Zhou; Longbin Lai; Yufan Yang; Yunkai Lou; Wenyuan Yu; Jingren Zhou 001 (CoRR, 2025)

Graph Data Model and Graph Query Language Based on the Monadic Second-Order Logic. - Yunkai Lou; Chaokun Wang; Songyao Wang (IEEE Trans. Big Data, 2025)