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Exploiting relational structure to understand publication patterns in high-energy physics.

, , , , , , and . SIGKDD Explor., 5 (2): 165-172 (2003)

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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)DeltaCon: Principled Massive-Graph Similarity Function with Attribution., , , , and . ACM Trans. Knowl. Discov. Data, 10 (3): 28:1-28:43 (2016)Device Classification for Industrial Control Systems Using Predicted Traffic Features., , and . Frontiers Comput. Sci., (2022)ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks., , , and . WebSci, page 161-170. ACM, (2017)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)Anomaly Detection in Dynamic Networks of Varying Size., , and . CoRR, (2014)Size-Consistent Statistics for Anomaly Detection in Dynamic Networks., , and . CoRR, (2016)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)