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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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). External link
Cappart, Q., Chételat, D., Khalil, E. B., Lodi, A., Morris, C., & Veličković, P. (2021, August). Combinatorial Optimization and Reasoning with Graph Neural Networks [Paper]. 30th International Joint Conference on Artificial Intelligence (IJCAI 2021). External link
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). External link
Morris, C. (2022). Graph Neural Networks: Graph Classification. In Graph Neural Networks: Foundations, Frontiers, and Applications (pp. 179-193). External link
Morris, C., Fey, M., & Kriege, N. M. (2021, August). The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs [Paper]. 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Montréal, Québec. External link
Morris, C., Rattan, G., & Mutzel, P. (2020, July). Weisfeiler and leman go sparse : towards scalable higher-order graph embeddings [Paper]. 37th International Conference on Machine Learning (ICML 2020) (25 pages). External link
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). Unavailable
Oettershagen, L., Kriege, N. M., Morris, C., & Mutzel, P. (2020, May). Classifying Dissemination Processes in Temporal Graphs [Paper]. SIAM International Conference on Data Mining (SDM 2020), Cincinnati, Ohio, United States. Published in Big Data, 8(5). External link
