Christopher Morris, Gaurav Rattan and Petra Mutzel
Paper (2020)
An external link is available for this item| Additional Information: | Groupe de recherche: CERC Datascience |
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| 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 |
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