Ceylan, Ismail Ilkan

25 publications

NeurIPS 2025 Curly Flow Matching for Learning Non-Gradient Field Dynamics Katarina Petrović, Lazar Atanackovic, Viggo Moro, Kacper Kapuśniak, Ismail Ilkan Ceylan, Michael M. Bronstein, Joey Bose, Alexander Tong

NeurIPS 2025 Equivariance Everywhere All at Once: A Recipe for Graph Foundation Models Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie

ICLR 2025 Homomorphism Counts as Structural Encodings for Graph Learning Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

ICML 2025 How Expressive Are Knowledge Graph Foundation Models? Xingyue Huang, Pablo Barcelo, Michael M. Bronstein, Ismail Ilkan Ceylan, Mikhail Galkin, Juan L Reutter, Miguel Romero Orth

TMLR 2025 Link Prediction with Relational Hypergraphs Xingyue Huang, Miguel Romero Orth, Pablo Barcelo, Michael M. Bronstein, Ismail Ilkan Ceylan

NeurIPS 2024 Almost Surely Asymptotically Constant Graph Neural Networks Sam Adam-Day, Michael Benedikt, İsmail İlkan Ceylan, Ben Finkelshtein

ICML 2024 Cooperative Graph Neural Networks Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan

NeurIPS 2024 Fisher Flow Matching for Generative Modeling over Discrete Data Oscar Davis, Samuel Kessler, Mircea Petrache, İsmail İlkan Ceylan, Michael Bronstein, Avishek Joey Bose

NeurIPSW 2024 Homomorphism Counts as Structural Encodings for Molecular Property Prediction Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

ICML 2024 Homomorphism Counts for Graph Neural Networks: All About That Basis Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

NeurIPS 2024 Learning on Large Graphs Using Intersecting Communities Ben Finkelshtein, İsmail İlkan Ceylan, Michael Bronstein, Ron Levie

ICML 2024 Position: Future Directions in the Theory of Graph Machine Learning Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka

ICML 2022 Equivariant Quantum Graph Circuits Peter Mernyei, Konstantinos Meichanetzidis, Ismail Ilkan Ceylan

LoG 2022 Shortest Path Networks for Graph Property Prediction Ralph Abboud, Radoslav Dimitrov, Ismail Ilkan Ceylan

AAAI 2022 Temporal Knowledge Graph Completion Using Box Embeddings Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan

AAAI 2021 Preferred Explanations for Ontology-Mediated Queries Under Existential Rules Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius

IJCAI 2021 The Surprising Power of Graph Neural Networks with Random Node Initialization Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz

AAAI 2020 Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz

IJCAI 2019 Explanations for Query Answers Under Existential Rules Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius

AAAI 2019 Ontology-Mediated Query Answering over Log-Linear Probabilistic Data Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz

IJCAI 2018 Recent Advances in Querying Probabilistic Knowledge Bases Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz

IJCAI 2017 Most Probable Explanations for Probabilistic Database Queries Ismail Ilkan Ceylan, Stefan Borgwardt, Thomas Lukasiewicz

AAAI 2017 Ontology-Mediated Queries for Probabilistic Databases Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz

IJCAI 2017 Open-World Probabilistic Databases: An Abridged Report Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck

IJCAI 2017 Query Answering in Ontologies Under Preference Rankings Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza, Oana Tifrea-Marciuska