"Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman ..."

Anders Aamand et al. (2022)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2211.03232

access: open

type: Informal or Other Publication

metadata version: 2022-11-09

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2211-03232
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2211-03232
Anders Aamand, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Nicholas Schiefer, Sandeep Silwal, Tal Wagner:
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks. CoRR abs/2211.03232 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.