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Feb 22, 2022 · This survey paper provides a comprehensive overview of recent advancements in graph lifelong learning, including the categorization of existing methods.
The focus of this survey paper is a learning model, called graph lifelong learning, with the ability to learn new knowledge sequentially in graph-based problems ...
This survey paper provides a comprehensive overview of recent advancements in graph lifelong learning, including the categorization of existing methods, ...
Feb 22, 2022 · Unlike existing survey papers that focus on either lifelong learning or graph learning separately, this survey paper covers the motivations, ...
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Author. Febrinanto, Falih; Xia, Feng; Moore, Kristen; Thapa, Chandra; Aggarwal, Charu ; Title. Graph Lifelong Learning: A Survey ; Publication Year. 2023.
By representing data as graph structure, graph learning enables the model to learn directly from this structure, so as to capture the relationships and patterns ...
Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities" - UConn-DSIS/Survey-of-Continual-Learning-on-Graphs.
Feb 9, 2024 · This article aims to provide a comprehensive survey of recent efforts on continual graph learning. Specifically, we introduce a new taxonomy of continual graph ...
Missing: Lifelong | Show results with:Lifelong
A comprehensive overview on the state of the art of graph learning is presented, including graph signal processing, matrix factorization, random walk, and deep ...
Lifelong Graph Learning (LGL) is an emerging field aimed at achieving continuous learning ... Graph lifelong learning: A survey[J]. IEEE Computational ...