Journal of Shandong University(Engineering Science) ›› 2023, Vol. 53 ›› Issue (2): 51-60.doi: 10.6040/j.issn.1672-3961.0.2022.157
Previous Articles Next Articles
WU Yanli, LIU Shuwei, HE Dongxiao, WANG Xiaobao*, JIN Di
CLC Number:
| [1] | ZHOU Q, CAI S M, ZHANG Y C. Parallel heuristic community detection method based on node similarity[J]. IEEE Access, 2019, 7: 184145-184159. |
| [2] | NEWMAN M E J. Equivalence between modularity optimization and maximum likelihood methods for community detection[J]. Physical Review E, 2016, 94(5): 052315. |
| [3] | LI Y, HE K, BINDEL D, et al. Uncovering the small community structure in large networks: a local spectral approach[C] //Proceedings of the 24th International Conference on World Wide Web. WWW'15. Florence, Italy: International World Wide Web Conferences Steering Committee, 2015: 658-668. |
| [4] | YANG B, LIU X, LI Y, et al. Stochastic blockmodeling and variational Bayes learning for signed network analysis[J]. IEEE Transactions on Knowledge and Data Engineering, 2017, 29(9):2026-2039. |
| [5] | LI P Z, HUANG L, WANG C D, et al. Community detection by motif-aware label propagation[J]. ACM Transactions on Knowledge Discovery from Data(TKDD), 2020, 14(2): 1-19. |
| [6] | BLEI D M, NG A Y, JORDAN M I. Latent Dirichlet allocation[J]. Journal of Machine Learning Research, 2003, 3(5):993-1022. |
| [7] | CHANG J, BLEI D M. Relational topic models for document networks[C] //Proceedings of the 12th International Conference on Artificial Intelligence and Statistics(AISTATS). Clearwater Beach, Florida, USA: PMLR, 2009: 81-88. |
| [8] | BAVOTA G, OLIVETO R, GETHERS M, et al. Methodbook: recommending move method refactorings via relational topic models[J]. IEEE Transactions on Software Engineering, 2013, 40(7): 671-694. |
| [9] | SACHAN M, CONTRACTOR D, FARUQUIE T A, et al. Using content and interactions for discovering communities in social networks[C] //Proceedings of the 21st International Conference on World Wide Web. New York, USA: Association for Computing Machinery, 2012: 331-340. |
| [10] | RANGANATH R, TANG L, CHARLIN L, et al. Deep exponential families[C] //Artificial Intelligence and Statistics. San Diego, California, USA: PMLR, 2015: 762-771. |
| [11] | GAN Z, CHEN C, HENAO R, et al. Scalable deep Poisson factor analysis for topic modeling[C] //Proceedings of the 32nd International Conference on Machine Learning. Lille, France: JMLR.org, 2015: 1823-1832. |
| [12] | WANG C, CHEN B, XIAO S, et al. Convolutional Poisson gamma belief network[C] //International Conference on Machine Learning. Long Beach, California, USA: PMLR, 2019: 6515-6525. |
| [13] | WANG C, ZHANG H, CHEN B, et al. Deep relational topic modeling via graph Poisson gamma belief network[J]. Advances in Neural Information Processing Systems, 2020, 33: 488-500. |
| [14] | CAI D, HE X, HAN J, et al. Graph regularized nonnegative matrix factorization for data representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 33(8): 1548-1560. |
| [15] | CHANG J, BLEI D M. Hierarchical relational models for document networks[J]. The Annals of Applied Statistics, 2010, 4(1): 124-150. |
| [16] | ZHOU M. Infinite edge partition models for overlapping community detection and link prediction[C] //Artificial Intelligence and Statistics. San Diego, California, USA: PMLR, 2015: 1135-1143. |
| [17] | ZHOU M, CONG Y, CHEN B. Augmentable gamma belief networks[J]. The Journal of Machine Learning Research, 2016, 17(1): 5656-5699. |
| [18] | ZHOU M, CONG Y, CHEN B. The Poisson gamma belief network[J]. Advances in Neural Information Processing Systems, 2015, 28: 562-570. |
| [19] | SEN P, NAMATA G, BILGIC M, et al. Collective classification in network data[J]. AI Magazine, 2008, 29(3): 93-106. |
| [20] | KARRER B, NEWMAN M E J. Stochastic blockmodels and community structure in networks[J]. Physical Review E, 2011, 83(1): 016107. |
| [21] | BALASUBRAMANYAN R, COHEN W W. Block-LDA: jointly modeling entity-annotated text and entity-entity links[C] //Proceedings of the 2011 SIAM International Conference on Data Mining. Mesa, Arizona, USA: Society for Industrial and Applied Mathematics, 2011: 450-461. |
| [22] | YANG T, JIN R, CHI Y, et al. Combining link and content for community detection: a discriminative approach[C] //Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, USA: Association for Computing Machinery, 2009: 927-936. |
| [23] | WANG X, JIN D, CAO X, et al. Semantic community identification in large attribute networks[C] //Proceedings of the AAAI Conference on Artificial Intelligence. Palo Alto, California, USA: AAAI Press, 2016: 265-271. |
| [24] | HE D, SONG W, JIN D, et al. An end-to-end community detection model: integrating lda into markov random field via factor graph[C] //International Joint Confer-ences on Artifical Intelligence(IJCAI). Macao, China: IJCAI, 2019: 5730-5736. |
| [25] | ZHANG G, JIN D, GAO J, et al. Finding communities with hierarchical semantics by distinguishing general and specialized topics[C] //Proceedings of the 27th International Joint Conference on Artificial Intelligence. Stockholm, Sweden: AAAI Press, 2018: 3648-3654. |
| [26] | LIU H, WU Z, LI X, et al. Constrained nonnegative matrix factorization for image representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 34(7): 1299-1311. |
| [27] | CANTADOR I, BRUSILOVSKY P, KUFLIK T. Second workshop on information heterogeneity and fusion in recommender systems(HetRec2011)[C] //Proceedings of the Fifth ACM Conference on Recommender Systems. New York, USA: Association for Computing Machinery, 2011: 387-388. |
| [28] | HE D, FENG Z, JIN D, et al. Joint identification of network communities and semantics via integrative modeling of network topologies and node contents[C] //Thirty-First AAAI Conference on Artificial Intelligence. San Francisco, California, USA: AAAI Press, 2017: 116-124. |
| [1] | HUANG Huajuan, CHENG Qian, WEI Xiuxi, YU Chuchu. Adaptive crow search algorithm with Jaya algorithm and Gaussian mutation [J]. Journal of Shandong University(Engineering Science), 2023, 53(2): 11-22. |
| [2] | LIU Fangxu, WANG Jian, WEI Benzheng. Auxiliary diagnosis algorithm for pediatric pneumonia based on multi-spatial attention [J]. Journal of Shandong University(Engineering Science), 2023, 53(2): 135-142. |
| [3] | ZHANG Hao, LI Ziling, LIU Tong, ZHANG Dawei, TAO Jianhua. A technology prediction model based on fuzzy Bayesian networks with sociological factors [J]. Journal of Shandong University(Engineering Science), 2023, 53(2): 23-33. |
| [4] | YU Mingjun, DIAO Hongjun, LING Xinghong. Online multi-object tracking method based on trajectory mask [J]. Journal of Shandong University(Engineering Science), 2023, 53(2): 61-69. |
| [5] | LIU Xing, YANG Lu, HAO Fanchang. Finger vein image retrieval based on multi-feature fusion [J]. Journal of Shandong University(Engineering Science), 2023, 53(2): 118-126. |
| [6] | YU Yixuan, YANG Geng, GENG Hua. Multimodal hierarchical keyframe extraction method for continuous combined motion [J]. Journal of Shandong University(Engineering Science), 2023, 53(2): 42-50. |
| [7] | Yue YUAN,Yanli WANG,Kan LIU. Named entity recognition model based on dilated convolutional block architecture [J]. Journal of Shandong University(Engineering Science), 2022, 52(6): 105-114. |
| [8] | Xiaobin XU,Qi WANG,Bin GAO,Zhiyu SUN,Zhongjun LIANG,Shangguang WANG. Pre-allocation of resources based on trajectory prediction in heterogeneous networks [J]. Journal of Shandong University(Engineering Science), 2022, 52(4): 12-19. |
| [9] | Yinfeng MENG,Qingfang LI. Recognition learning based on multivariate functional principal component representation [J]. Journal of Shandong University(Engineering Science), 2022, 52(3): 1-8. |
| [10] | Xiushan NIE,Yuling MA,Huiyan QIAO,Jie GUO,Chaoran CUI,Zhiyun YU,Xingbo LIU,Yilong YIN. Survey on student academic performance prediction from the perspective of task granularity [J]. Journal of Shandong University(Engineering Science), 2022, 52(2): 1-14. |
| [11] | Tongyu JIANG,Fan CHEN,Hongjie HE. Lightweight face super-resolution network based on asymmetric U-pyramid reconstruction [J]. Journal of Shandong University(Engineering Science), 2022, 52(1): 1-8, 18. |
| [12] | Jun HU,Dongmei YANG,Li LIU,Fujin ZHONG. Cross social network user alignment via fusing node state information [J]. Journal of Shandong University(Engineering Science), 2021, 51(6): 49-58. |
| [13] | Ye LIANG,Nan MA,Hongzhe LIU. Image-dependent fusion method for saliency maps [J]. Journal of Shandong University(Engineering Science), 2021, 51(4): 1-7. |
| [14] | Xinlu ZONG,Jiayuan DU. Evacuation simulation model based on multi-target driven artificial bee colony algorithm [J]. Journal of Shandong University(Engineering Science), 2021, 51(3): 1-6. |
| [15] | YANG Xiuyuan, PENG Tao, YANG Liang, LIN Hongfei. Adaptive multi-domain sentiment analysis based on knowledge distillation [J]. Journal of Shandong University(Engineering Science), 2021, 51(3): 15-21. |
|
