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MS-GDA: Improving Heterogeneous Recipe Representation via Multinomial Sampling Graph Data Augmentation.

, , , , , and . ACM Trans. Multim. Comput. Commun. Appl., 20 (7): 199:1-199:23 (July 2024)

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Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models., , , , and . ICDM, page 755-760. IEEE Computer Society, (2014)MS-GDA: Improving Heterogeneous Recipe Representation via Multinomial Sampling Graph Data Augmentation., , , , , and . ACM Trans. Multim. Comput. Commun. Appl., 20 (7): 199:1-199:23 (July 2024)Automatic Segmentation of Data Sequences., , and . AAAI, page 2844-2851. AAAI Press, (2018)Cut-n-Reveal: Time Series Segmentations with Explanations., , , , , and . ACM Trans. Intell. Syst. Technol., 11 (5): 53:1-53:26 (2020)Efficiently summarizing attributed diffusion networks., , and . Data Min. Knowl. Discov., 32 (5): 1251-1274 (2018)Joint Post and Link-level Influence Modeling on Social Media., and . SDM, page 262-270. SIAM, (2019)Segmenting Sequences of Node-Labeled Graphs., , and . ICDM Workshops, page 61-68. IEEE Computer Society, (2016)Segmenting, Summarizing and Predicting Data Sequences.. Virginia Tech, Blacksburg, VA, USA, (2018)base-search.net (ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/83573).Automatic Segmentation of Dynamic Network Sequences with Node Labels., , and . IEEE Trans. Knowl. Data Eng., 30 (3): 407-420 (2018)HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks., , , , , , and . CIKM, page 1599-1607. ACM, (2017)