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Temporal Egonet Subgraph Transitions

arXiv 2303.14632 ↗First posted 26 Mar 2023cs.SI cs.LGcited by 0

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Abstract (arXiv)

How do we summarize dynamic behavioral interactions? We introduce a possible node-embedding-based solution to this question: temporal egonet subgraph transitions.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 33 references that are in the map. First posted on arXiv 26 Mar 2023.

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7 of 33 references.

References · 7

  1. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
  2. 2016node2vec: Scalable Feature Learning for Networkscited by 1,913
  3. 2014DeepWalk: Online Learning of Social Representationscited by 1,543
  4. 2015The Extreme Value Machinecited by 78
  5. 2016Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphscited by 37
  6. 2020Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approachcited by 20
  7. 2020Joint Subgraph-to-Subgraph Transitions -- Generalizing Triadic Closure for Powerful and Interpretable Graph Modelingcited by 3

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