Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey

نویسندگان

چکیده

Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems, and epidemiology. Representing complex as structures changing over time allow models to leverage not only structural but also temporal patterns. However, dynamic literature stems from diverse fields makes use inconsistent terminology, it is challenging navigate. Meanwhile, graph neural (GNNs) have gained lot attention recent years for their ability perform well on science tasks, such link prediction node classification. Despite the popularity proven benefits models, there has been little focus networks. To address challenges resulting fact that this research crosses survey networks, work split into two main parts. First, ambiguity terminology we establish foundation with consistent, detailed notation. Second, present comprehensive using proposed

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2021

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2021.3082932