Corpus ID: 207881117

weg2vec: Event embedding for temporal networks

@article{Torricelli2019weg2vecEE,
  title={weg2vec: Event embedding for temporal networks},
  author={Maddalena Torricelli and M{\'a}rton Karsai and Laetitia Gauvin},
  journal={ArXiv},
  year={2019},
  volume={abs/1911.02425}
}
  • Maddalena Torricelli, Márton Karsai, Laetitia Gauvin
  • Published in ArXiv 2019
  • Mathematics, Physics, Computer Science
  • Network embedding techniques are powerful to capture structural regularities in networks and to identify similarities between their local fabrics. However, conventional network embedding models are developed for static structures, commonly consider nodes only and they are seriously challenged when the network is varying in time. Temporal networks may provide an advantage in the description of real systems, but they code more complex information, which could be effectively represented only by a… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 45 REFERENCES

    Randomized reference models for temporal networks

    VIEW 14 EXCERPTS

    STwalk: learning trajectory representations in temporal graphs

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Node Embedding over Temporal Graphs

    VIEW 1 EXCERPT

    https://github.com/supriya-pandhre/STWalk (Last Access: April 2019)

    • M. G. Supriya Pandhre, Himangi Mittal, Balasubramanian, V. N. Stwalk
    • 2019
    VIEW 6 EXCERPTS
    HIGHLY INFLUENTIAL

    Online node2vec. https://github.com/mislam5285/online-node2vec (Last Access: April 2019)

    • Ferenc Béres, S D.M.K.D., Róbert Pálovics, A. A. Benczúr
    • 2019
    VIEW 1 EXCERPT

    The Temporal Event Graph

    VIEW 2 EXCERPTS