Article

Unsupervised Inductive node representation learning for dynamic graphs

2024-02-22

Abstract excerpt

<title>Abstract</title> <p>Graph-structured data is crucial for modeling complex real-world systems, but traditional machine learning struggles with non-Euclidean relationships inherent in graphs. Graph embedding techniques address this by creating fixed-dimensional vector representations of nodes, edges, or graphs, enabling diverse downstream tasks. However, existing approaches often focus on static graphs, limi...

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Literature Corpus work: 8759d382-0217-5ea1-a053-b876863a7fcd
DOI: 10.21203/rs.3.rs-3972512/v1

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