Online Graph-Adaptive Learning With Scalability and Privacy
Graphs are widely adopted for modeling complex systems, including financial, biological, and social networks. Nodes in networks usually entail attributes, such as the age or gender of users in a social network. However, real-world networks can have very large size, and nodal attributes can be unavai...
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Veröffentlicht in: | IEEE transactions on signal processing 2019-05, Vol.67 (9), p.2471-2483 |
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