Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs. Layne, J., Carpenter, J., Serra, E., & Gullo, F. Proc. VLDB Endow., 16(9):2075–2089, 2023. Paper doi bibtex @article{DBLP:journals/pvldb/LayneCSG23,
author = {Janet Layne and
Justin Carpenter and
Edoardo Serra and
Francesco Gullo},
title = {Temporal {SIR-GN:} Efficient and Effective Structural Representation
Learning for Temporal Graphs},
journal = {Proc. {VLDB} Endow.},
volume = {16},
number = {9},
pages = {2075--2089},
year = {2023},
url = {https://www.vldb.org/pvldb/vol16/p2075-layne.pdf},
doi = {10.14778/3598581.3598583},
timestamp = {Mon, 23 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/pvldb/LayneCSG23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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