Ismail Ilkan Ceylan
Ismail Ilkan Ceylan
Wolfson Building, Parks Road, Oxford OX1 3QD
Themes:
- Artificial Intelligence and Machine Learning
- Algorithms and Complexity Theory
- Data, Knowledge and Action
Completed Projects:
Interests
My research interests are broadly in AI \& machine learning with a particular focus on graph machine learning, which includes a class of challenging problems that can be naturally characterized using relational structures. The goal is to more efficiently and reliably learn from relational patterns and reason over them. This is a highly interactive field, where techniques from machine learning (e.g., deep learning, graph representation learning, probabilistic methods), knowledge representation (e.g., logical reasoning), and theoretical computer science (complexity theory, graph theory) are relevant. These methods are applied in a wide range of domains, ranging from systems in life-sciences (e.g., physical, chemical, and biological systems) to social networks.
Note: If you are interested in applying for a DPhil, it might be helpful to have a brief look at my graph representation learning course.
Selected Publications
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A Theory of Link Prediction via Relational Weisfeiler−Leman on Knowledge Graphs
Xingyue Huang‚ Miguel Romero Orth‚ İsmail İlkan Ceylan and Pablo Barcelo
In Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS). 2023.
Details about A Theory of Link Prediction via Relational Weisfeiler−Leman on Knowledge Graphs | BibTeX data for A Theory of Link Prediction via Relational Weisfeiler−Leman on Knowledge Graphs
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PlanE: Representation Learning over Planar Graphs
Radoslav Dimitrov‚ Zeyang Zhao‚ Ralph Abboud and İsmail İlkan Ceylan
In Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS). 2023.
Details about PlanE: Representation Learning over Planar Graphs | BibTeX data for PlanE: Representation Learning over Planar Graphs
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Zero−One Laws of Graph Neural Networks
Sam Adam−Day‚ Theodor Mihai Iliant and İsmail İlkan Ceylan
In Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS). 2023.
Details about Zero−One Laws of Graph Neural Networks | BibTeX data for Zero−One Laws of Graph Neural Networks