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"Graph Neural Networks for Temporal Graphs: State of the Art, Open ..."

Antonio Longa et al. (2023)

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DOI: —

access: open

type: Journal Article

metadata version: 2024-08-01

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  - electronic edition @ openreview.net (open access)
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  dblp key:
  - journals/tmlr/LongaLSBLLSP23
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  persistent URL:
  - https://dblp.org/rec/journals/tmlr/LongaLSBLLSP23
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini:
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. Trans. Mach. Learn. Res. 2023 (2023)

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