<  Back to the Polytechnique Montréal portal

Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings

Christopher Morris, Gaurav Rattan and Petra Mutzel

Paper (2020)

An external link is available for this item
Additional Information: Groupe de recherche: CERC Datascience
Department: Department of Computer Engineering and Software Engineering
Research Center: Other
ISBN: 9781713829546
PolyPublie URL: https://publications.polymtl.ca/49414/
Conference Title: 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
Conference Date(s): 2020-12-06 - 2020-12-12
Publisher: Neural Information Processing Systems Foundation
Official URL: https://proceedings.neurips.cc/paper/2020/hash/f81...
Date Deposited: 18 Apr 2023 15:01
Last Modified: 25 Mar 2026 14:11
Cite in APA 7: Morris, C., Rattan, G., & Mutzel, P. (2020, December). Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020). https://proceedings.neurips.cc/paper/2020/hash/f81dee42585b3814de199b2e88757f5c-Abstract.html

Statistics

Stats are not available on this system.

Repository Staff Only

View Item View Item