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SNOD: a fast sampling method of exploring node orbit degrees for large graphs.

, , , , and . Knowl. Inf. Syst., 61 (1): 301-326 (2019)

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A Novel Framework for Node/Edge Attributed Graph Embedding., and . PAKDD (3), volume 11441 of Lecture Notes in Computer Science, page 169-182. Springer, (2019)A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation., , , , , , and . IEEE Access, (2018)Processing of massive audit data streams for real-time anomaly intrusion detection., , and . Comput. Commun., 31 (1): 58-72 (2008)Toward autonomic grids: analyzing the job flow with affinity streaming., , , , and . KDD, page 987-996. ACM, (2009)Clustering Recommenders in Collaborative Filtering Using Explicit Trust Information., , and . IFIPTM, volume 358 of IFIP Advances in Information and Communication Technology, page 82-97. Springer, (2011)Improving Cross-lingual Entity Alignment via Optimal Transport., , and . IJCAI, page 3231-3237. ijcai.org, (2019)Abstracting massive data for lightweight intrusion detection in computer networks., , , and . Inf. Sci., (2018)Co-Embedding Attributed Networks., , , and . WSDM, page 393-401. ACM, (2019)Video Quality Prediction over Wireless 4G., , and . PAKDD (2), volume 7819 of Lecture Notes in Computer Science, page 414-425. Springer, (2013)Jointly Learning Representations of Nodes and Attributes for Attributed Networks., , , , and . ACM Trans. Inf. Syst., 38 (2): 16:1-16:32 (2020)