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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
Morris, C. (2022). Graph Neural Networks: Graph Classification. Dans Graph Neural Networks: Foundations, Frontiers, and Applications (179-193). 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
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
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
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
