Using Siamese Graph Neural Networks for Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning

Using Siamese Graph Neural Networks for Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning. Hoffmann, M., Malburg, L., Klein, P., & Bergmann, R. In Watson, I. & Weber, R. O., editors, Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Salamanca, Spain, June 8-12, 2020, Proceedings, volume 12311, of Lecture Notes in Computer Science, pages 229–244, 2020. Springer.

Paper doi bibtex 77 downloads

@inproceedings{DBLP:conf/iccbr/HoffmannMKB20,
  author       = {Maximilian Hoffmann and
                  Lukas Malburg and
                  Patrick Klein and
                  Ralph Bergmann},
  editor       = {Ian Watson and
                  Rosina O. Weber},
  title        = {Using Siamese Graph Neural Networks for Similarity-Based Retrieval
                  in Process-Oriented Case-Based Reasoning},
  booktitle    = {Case-Based Reasoning Research and Development - 28th International
                  Conference, {ICCBR} 2020, Salamanca, Spain, June 8-12, 2020, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {12311},
  pages        = {229--244},
  publisher    = {Springer},
  year         = {2020},
  url          = {https://doi.org/10.1007/978-3-030-58342-2\_15},
  doi          = {10.1007/978-3-030-58342-2\_15},
  timestamp    = {Thu, 16 Sep 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/iccbr/HoffmannMKB20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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