Ismail Ilkan Ceylan

Ismail Ilkan Ceylan

Departmental Lecturer

College Lecturer, Hertford College

E: ismail.ceylan at cs.ox.ac.uk

Wolfson Building, Parks Road, Oxford OX1 3QD

Themes:

• Artificial Intelligence and Machine Learning
• Algorithms and Complexity Theory
• Data and Knowledge

Completed Projects:

• RealPDBs

Interests

My research interests are broadly in AI & machine learning with a particular focus on relational learning & reasoning, which includes a class of challenging problems that can be naturally characterised on relational structures, such as graphs, knowledge bases, or more general logical representations. The goal is being able 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 inference), knowledge representation (e.g., logical reasoning), and theoretical computer science (complexity theory, graph theory) are relevant.

Note: If you are interested in applying for a DPhil, please get in touch beforehand.

Selected Publications

View AllManage publications

• The Surprising Power of Graph Neural Networks with Random Node Initialization

  Ralph Abboud‚ İsmail İlkan Ceylan‚ Martin Grohe and Thomas Lukasiewicz

  In Proceedings of the 30th International Joint Conference on Artificial Intelligence‚ IJCAI 2021‚ August 21–26‚ 2021. IJCAI. August, 2021.

  Details about The Surprising Power of Graph Neural Networks with Random Node Initialization | BibTeX data for The Surprising Power of Graph Neural Networks with Random Node Initialization | Link to The Surprising Power of Graph Neural Networks with Random Node Initialization

• Open−World Probabilistic Databases: Semantics‚ Algorithms‚ Complexity

  İsmail İlkan Ceylan‚ Adnan Darwiche and Guy Van den Broeck

  In Artificial Intelligence. Vol. 295. 2021.

  Details about Open−World Probabilistic Databases: Semantics‚ Algorithms‚ Complexity | BibTeX data for Open−World Probabilistic Databases: Semantics‚ Algorithms‚ Complexity | DOI (https://doi.org/10.1016/j.artint.2021.103474) | Link to Open−World Probabilistic Databases: Semantics‚ Algorithms‚ Complexity

• Preferred Explanations for Ontology−Mediated Queries under Existential Rules

  İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Enrico Malizia‚ Cristian Molinaro and Andrius Vaicenavičius

  In Kevin Leyton−Brown and Mausam, editors, Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2–9‚ 2021. AAAI Press. 2021.

  Details about Preferred Explanations for Ontology−Mediated Queries under Existential Rules | BibTeX data for Preferred Explanations for Ontology−Mediated Queries under Existential Rules | Link to Preferred Explanations for Ontology−Mediated Queries under Existential Rules

Activities

• Deep Learning
• Knowledge Representation and Reasoning

Current Students

Past Student