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Locating community smells in software development processes using higher-order network centralities.

, , , , , , , and . Soc. Netw. Anal. Min., 13 (1): 129 (December 2023)

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Bayesian inference of transition matrices from incomplete graph data with a topological prior., , and . EPJ Data Sci., 12 (1): 48 (December 2023)Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs., and . CoRR, (2023)Locating community smells in software development processes using higher-order network centralities., , , , , , , and . Soc. Netw. Anal. Min., 13 (1): 129 (December 2023)Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis., and . WWW (Companion Volume), page 533-534. ACM / IW3C2, (2021)Predicting Influential Higher-Order Patterns in Temporal Network Data., , and . ASONAM, page 109-116. IEEE, (2022)Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs., , , and . CoRR, (2024)HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs., and . GD, volume 12590 of Lecture Notes in Computer Science, page 99-114. Springer, (2020)De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs., , and . LoG, volume 198 of Proceedings of Machine Learning Research, page 51. PMLR, (2022)Predicting Influential Higher-Order Patterns in Temporal Network Data., , and . CoRR, (2021)Analysis and Visualisation of Time Series Data on Networks with Pathpy., , , , , and . WWW (Companion Volume), page 530-532. ACM / IW3C2, (2021)