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. It might also be helpful to have a brief look at my graph representation learning course.

Selected Publications

View AllManage publications

• The Dichotomy of Evaluating Homomorphism−Closed Queries on Probabilistic Graphs

  Antoine Amarilli and İsmail İlkan Ceylan

  In Logical Methods in Computer Science. Vol. 18/1. 2022.

  Details about The Dichotomy of Evaluating Homomorphism−Closed Queries on Probabilistic Graphs | BibTeX data for The Dichotomy of Evaluating Homomorphism−Closed Queries on Probabilistic Graphs | Link to The Dichotomy of Evaluating Homomorphism−Closed Queries on Probabilistic Graphs

• Shortest Path Networks for Graph Property Prediction

  Ralph Abboud‚ Radoslav Dimitrov and İsmail İlkan Ceylan

  In Proceedings of the First Learning on Graphs Conference (LoG). 2022.

  Oral presentation

  Details about Shortest Path Networks for Graph Property Prediction | BibTeX data for Shortest Path Networks for Graph Property Prediction

• Query Answer Explanations under Existential Rules

  İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Enrico Malizia and Andrius Vaicenavicius

  In Giuseppe Amato‚ Valentina Bartalesi‚ Devis Bianchini‚ Claudio Gennaro and Riccardo Torlone, editors, Proceedings of the 30th Italian Symposium on Advanced Database Systems‚ SEBD 2022‚ Tirrenia (PI)‚ Italy‚ June 19−22‚ 2022. Vol. 3194 of CEUR Workshop Proceedings. Pages 481–488. CEUR−WS.org. 2022.

  Details about Query Answer Explanations under Existential Rules | BibTeX data for Query Answer Explanations under Existential Rules | Download (pdf) of Query Answer Explanations under Existential Rules

Activities

• Deep Learning
• Knowledge Representation and Reasoning

Current Students

Past Students