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Revisiting Embedding Based Graph Analyses: Hyperparameters Matter!

, , , , , and . IEEE Trans. Knowl. Data Eng., 35 (11): 11830-11845 (November 2023)

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Understanding human dynamics from large-scale location-centric social media data : analysis and applications. (Exploration de la dynamique humaine basée sur des données massives de réseaux sociaux de géolocalisation : analyse et applications).. Telecom & Management SudParis, Évry, Essonne, France, (2015)Advances in Personalized Mobile Services., , , , , and . Mob. Inf. Syst., (2018)Fine-Grained Urban Event Detection and Characterization Based on Tensor Cofactorization., , , , and . IEEE Trans. Hum. Mach. Syst., 47 (3): 380-391 (2017)Acceptance-Aware Mobile Crowdsourcing Worker Recruitment in Social Networks., , , , , , and . IEEE Trans. Mob. Comput., 22 (2): 634-646 (2023)Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings., , and . CIKM, page 437-446. ACM, (2018)Task Execution Quality Maximization for Mobile Crowdsourcing in Geo-Social Networks., , , , , , and . Proc. ACM Hum. Comput. Interact., 5 (CSCW2): 312:1-312:29 (2021)Fog radio access network optimization for 5G leveraging user mobility and traffic data., , , , and . J. Netw. Comput. Appl., (2021)RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs., , , and . WWW, page 845-856. ACM / IW3C2, (2021)Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters!, , and . IEEE BigData, page 2465-2473. IEEE, (2019)Black-Box Data Poisoning Attacks on Crowdsourcing., , , , , and . IJCAI, page 2975-2983. ijcai.org, (2023)