Elias B. Khalil, Christopher Morris and Andrea Lodi
Paper (2022)
An external link is available for this item
| Department: | Department of Mathematics and Industrial Engineering |
|---|---|
| PolyPublie URL: | https://publications.polymtl.ca/52841/ |
| Conference Title: | 36th AAAI Conference on Artificial Intelligence (AAAI 2022) |
| Conference Date(s): | 2022-02-22 - 2022-03-01 |
| Journal Title: | Proceedings of the ... AAAI Conference on Artificial Intelligence (vol. 36, no. 9) |
| DOI: | 10.1609/aaai.v36i9.21262 |
| Official URL: | https://doi.org/10.1609/aaai.v36i9.21262 |
| Date Deposited: | 18 Apr 2023 14:58 |
| Last Modified: | 25 Sep 2024 16:43 |
| Cite in APA 7: | Khalil, E. B., Morris, C., & Lodi, A. (2022, February). MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers [Paper]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022). Published in Proceedings of the ... AAAI Conference on Artificial Intelligence, 36(9). https://doi.org/10.1609/aaai.v36i9.21262 |
|---|---|
Statistics
Dimensions
Repository Staff Only
|
View Item |
