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Cappart, Q., Chételat, D., Khalil, E. B., Lodi, A., Morris, C., & Velickovic, P. (2023). Combinatorial Optimization and Reasoning with Graph Neural Networks. Journal of Machine Learning Research, 24, 130 (61 pages). Lien externe
Cappart, Q., Chételat, D., Khalil, E. B., Lodi, A., Morris, C., & Veličković, P. (août 2021). Combinatorial Optimization and Reasoning with Graph Neural Networks [Communication écrite]. 30th International Joint Conference on Artificial Intelligence (IJCAI 2021). Lien externe
Khalil, E. B., Morris, C., & Lodi, A. (février 2022). MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers [Communication écrite]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022). Publié dans Proceedings of the ... AAAI Conference on Artificial Intelligence, 36(9). Lien externe
Morris, C. (2022). Graph Neural Networks: Graph Classification. Dans Graph Neural Networks: Foundations, Frontiers, and Applications (179-193). Lien externe
Morris, C., Rattan, G., & Mutzel, P. (juillet 2020). Weisfeiler and leman go sparse : towards scalable higher-order graph embeddings [Communication écrite]. 37th International Conference on Machine Learning (ICML 2020) (25 pages). Lien externe
Morris, C., Rattan, G., & Mutzel, P. (décembre 2020). Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings [Communication écrite]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020). Non disponible
Oettershagen, L., Kriege, N. M., Morris, C., & Mutzel, P. (mai 2020). Classifying Dissemination Processes in Temporal Graphs [Communication écrite]. SIAM International Conference on Data Mining (SDM 2020), Cincinnati, Ohio, United States. Publié dans Big Data, 8(5). Lien externe
