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Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge., , , , , , , , , and . J. Chem. Inf. Model., 60 (6): 2876-2887 (2020)Size-Consistent Statistics for Anomaly Detection in Dynamic Networks., , and . CoRR, (2016)Anomaly Detection in Dynamic Networks of Varying Size., , and . CoRR, (2014)MaxReach: Reducing network incompleteness through node probes., , , and . ASONAM, page 152-157. IEEE Computer Society, (2016)Using ghost edges for classification in sparsely labeled networks., , , and . KDD, page 256-264. ACM, (2008)Evaluating Statistical Tests for Within-Network Classifiers of Relational Data., , and . ICDM, page 397-406. IEEE Computer Society, (2009)Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective., , , and . ICDM, page 959-964. IEEE Computer Society, (2014)Leveraging label-independent features for classification in sparsely labeled networks: An empirical study, and . Advances in Social Network Mining and Analysis, Springer, (2010)Link Homophily in the Application Layer and its Usage in Traffic Classification., , , and . INFOCOM, page 221-225. IEEE, (2010)Device Classification for Industrial Control Systems Using Predicted Traffic Features., , and . Frontiers Comput. Sci., (2022)