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.

Data and Resources

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

DOI retrieved: December 16, 2024

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