By Professor Wenjie Zhang

Preprints

Yuan L; Hao K; Lin X; Zhang W, 2023, Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs, , http://dx.doi.org/10.48550/arxiv.2312.01424

Sun Q; Zhang W; Lin X, 2022, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, , http://dx.doi.org/10.36227/techrxiv.21203096

Sun Q; Zhang W; Lin X, 2022, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, , http://dx.doi.org/10.36227/techrxiv.21203096.v1

Luo L; Fang Y; Lu M; Cao X; Zhang X; Zhang W, 2022, GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs, , http://dx.doi.org/10.48550/arxiv.2208.06144

Linghu Q; Zhang F; Lin X; Zhang W; Zhang Y, 2021, Towards User Engagement Dynamics in Social Networks, , http://dx.doi.org/10.48550/arxiv.2110.12193

Yang Z; Lai L; Lin X; Hao K; Zhang W, 2021, HUGE: An Efficient and Scalable Subgraph Enumeration System, , http://dx.doi.org/10.48550/arxiv.2103.14294

Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation, , http://dx.doi.org/10.48550/arxiv.2004.08068

Lai L; Qing Z; Yang Z; Jin X; Lai Z; Wang R; Hao K; Lin X; Qin L; Zhang W; Zhang Y; Qian Z; Zhou J, 2019, A Survey and Experimental Analysis of Distributed Subgraph Matching, , http://dx.doi.org/10.48550/arxiv.1906.11518

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v1], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v1

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v2], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v2

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v3], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v3

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v4], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v4

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