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Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs.

, и . CoRR, (2023)

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Diego Perrig

Philipp Perrin

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Vincenzo Casulli

 

Другие публикации лиц с тем же именем

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