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Graph Embedding

Graphs are essential tools to capture and model complicated relationships among data. In a variety of graph applications, including protein-protein interaction networks, social media, and citation networks, analyzing graph data plays an important role in various data mining tasks including node or graph classification, link prediction, and node clustering.

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Cite this as

Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang (2024). Dataset: Graph Embedding. https://doi.org/10.57702/zh7dbe1v

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1802.04407
Author Shirui Pan
More Authors
Ruiqi Hu
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
Homepage https://en.wikipedia.org/wiki/Graph_embedding