By Dr Dong Wen

Book Chapters

Kong Y; Xu Y; Wen D; Zhang Y; Li B; Zhang W, 2027, 'Temporal Bipartite Graph Representation Learning for Behavior Anomaly Detection', in , pp. 387 - 410, http://dx.doi.org/10.1007/978-981-92-2494-4_21

Ding Y; Zhao Y; Zhang W; Yang Z; Yang W; Wen D; Wang X, 2026, 'An Experimental Study of Graph Pattern Mining Systems', in , pp. 49 - 63, http://dx.doi.org/10.1007/978-981-95-6196-4_4

Han B; Chen Z; Ding Y; Jiang W; Zhang Y; Shepherd J; Wen D; Yang Z, 2026, 'Counting the Number of Hop-Constrained Simple S-T Paths in Large Graphs', in , pp. 375 - 387, http://dx.doi.org/10.1007/978-981-95-7251-9_25

He H; Yang Z; Wen D; Yang W; Shepherd J, 2026, 'Graph Reachability Queries: Empirical Evaluation and Practical Guidelines', in , pp. 361 - 373, http://dx.doi.org/10.1007/978-981-95-7394-3_25

Zhang H; Zhang T; Yang Z; Wang W; Ju M; Wen D; Cao B, 2026, 'Temporal Katz Centrality Estimation with Temporal Graph Neural Networks', in , pp. 231 - 239, http://dx.doi.org/10.1007/978-981-95-3462-3_18

Yan H; Yang Z; Zhang T; Wen D; Luo Q; Ukey N, 2025, 'Approximating Temporal Katz Centrality with Monte Carlo Methods', in , pp. 3 - 16, http://dx.doi.org/10.1007/978-981-96-0055-7_1

Chen K; Wen D; Li W; Yang Z; Zhang W, 2024, 'On Compressing Historical Cliques in Temporal Graphs', in , pp. 37 - 53, http://dx.doi.org/10.1007/978-981-97-5552-3_3

Yin H; Wang K; Zhang W; Wen D; Wang X; Zhang Y, 2024, 'Discovering Densest Subgraph over Heterogeneous Information Networks', in Bao Z; Borovica-Gajic R; Qiu R; Choudhury F; Yang Z (ed.), Databases Theory and Applications, Springer Nature, pp. 341 - 355, http://dx.doi.org/10.1007/978-3-031-47843-7_24

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