Representation learning for temporal networks using temporal random walk and deep autoencoder

DOI10.1016/j.dam.2022.01.017OpenAlexW4220850513MaRDI QIDQ2161280

K. V. Pramod, Anuraj Mohan

Publication date: 4 August 2022

Published in: Discrete Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.dam.2022.01.017

zbMATH Keywords

link predictiontemporal networksdeep learningnetwork embedding

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Artificial intelligence (68Txx) Random walks on graphs (05C81)

Uses Software

• SNAP
• word2vec
• TensorFlow
• KONECT
• node2vec
• DeepWalk
• DynGEM

Cites Work

• Random walks and electrical resistances in products of graphs

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