Link prediction in dynamic networks using random dot product graphs

DOI10.1007/s10618-021-00784-2zbMath1493.62549OpenAlexW2995782688MaRDI QIDQ2238354

Anna Bertiger, Joshua C. Neil, Francesco Sanna Passino, Nicholas A. Heard

Publication date: 1 November 2021

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-021-00784-2

zbMATH Keywords

dynamic networkslink predictionrandom dot product graphadjacency spectral embedding

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Random graphs (graph-theoretic aspects) (05C80)

Uses Software

• forecast
• Forecast
• Adam
• GitHub
• node2vec
• StellarGraph
• DeepWalk
• DynGEM
• dyngraph2vec

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