Temporal network embedding framework with causal anonymous walks representations

Many tasks in graph machine learning, such as link prediction and node classification, are typically solved using representation learning. Each node or edge in the network is encoded via an embedding. Though there exists a lot of network embeddings for static graphs, the task becomes much more compl...

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Detalles Bibliográficos
Autores principales: Makarov, Ilya, Savchenko, Andrey, Korovko, Arseny, Sherstyuk, Leonid, Severin, Nikita, Kiselev, Dmitrii, Mikheev, Aleksandr, Babaev, Dmitrii
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802774/
https://www.ncbi.nlm.nih.gov/pubmed/35174275
http://dx.doi.org/10.7717/peerj-cs.858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802774/
https://www.ncbi.nlm.nih.gov/pubmed/35174275
http://dx.doi.org/10.7717/peerj-cs.858

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