GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. Park, N., Rossi, R. A., Wang, X., Simoulin, A., Ahmed, N. K., & Faloutsos, C. In Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., & Levine, S., editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023.

Paper bibtex

@inproceedings{DBLP:conf/nips/ParkRWSAF23,
  author       = {Namyong Park and
                  Ryan A. Rossi and
                  Xing Wang and
                  Antoine Simoulin and
                  Nesreen K. Ahmed and
                  Christos Faloutsos},
  editor       = {Alice Oh and
                  Tristan Naumann and
                  Amir Globerson and
                  Kate Saenko and
                  Moritz Hardt and
                  Sergey Levine},
  title        = {{GLEMOS:} Benchmark for Instantaneous Graph Learning Model Selection},
  booktitle    = {Advances in Neural Information Processing Systems 36: Annual Conference
                  on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
                  LA, USA, December 10 - 16, 2023},
  year         = {2023},
  url          = {http://papers.nips.cc/paper\_files/paper/2023/hash/dcd18e50ebca0af89187c6e35dabb584-Abstract-Datasets\_and\_Benchmarks.html},
  timestamp    = {Fri, 01 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/ParkRWSAF23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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