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Predicting the Future Popularity of Academic Publications Using Deep Learning by Considering It as Temporal Citation Networks.

, , , , , , , , , и . IEEE Access, (2023)

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Discovering Items with Potential Popularity on Social Media., , и . DASC/PiCom/DataCom/CyberSciTech, стр. 459-466. IEEE Computer Society, (2016)Co-Evolving Popularity Prediction in Temporal Bipartite Networks: A Heuristics Based Model., , , , , , , , , и 1 other автор(ы). IEEE Access, (2023)A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks., , , , , и . Entropy, 25 (2): 257 (февраля 2023)Weber's law based multi-level convolution correlation features for image retrieval., , , , , и . Multim. Tools Appl., 80 (13): 19157-19177 (2021)Blockchain technology and application: an overview., , , и . PeerJ Comput. Sci., (2023)TempNodeEmb: Temporal Node Embedding considering temporal edge influence matrix., , , , , , и . CoRR, (2020)Ranking Nodes in Temporal Networks: Eigen Value and Node Degree Growth based., , , и . IPMV, стр. 146-153. ACM, (2020)Predicting the Future Popularity of Academic Publications Using Deep Learning by Considering It as Temporal Citation Networks., , , , , , , , , и . IEEE Access, (2023)A survey on deep learning and its applications., , и . Comput. Sci. Rev., (2021)Identifying emerging influential Nodes in evolving networks: Exploiting strength of weak nodes., , , и . CoRR, (2016)