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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Bibliographic Details
Main Authors: Ilya Makarov, Andrey Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Dmitrii Kiselev, Aleksandr Mikheev, Dmitrii Babaev
Format: Article
Language:English
Published: PeerJ Inc. 2022-01-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-858.pdf