Reasoning in the Description Logic BEL Using Bayesian Networks. - Ismail Ilkan Ceylan; Rafael Peñaloza (StarAI@AAAI, 2014)

The Bayesian Description Logic ${ mathcal{BEL}}$. - Ismail Ilkan Ceylan; Rafael Peñaloza (IJCAR, 2014)

Bayesian Description Logics. - Ismail Ilkan Ceylan; Rafael Peñaloza (Description Logics, 2014)

Verification of Context-Sensitive Knowledge and Action Bases. - Diego Calvanese; Ismail Ilkan Ceylan; Marco Montali; Ario Santoso (JELIA, 2014)

Tight Complexity Bounds for Reasoning in the Description Logic $ mathcal{BE{ kern-.1em}L}$. - Ismail Ilkan Ceylan; Rafael Peñaloza (JELIA, 2014)

Adding Context to Knowledge and Action Bases. - Diego Calvanese; Ismail Ilkan Ceylan; Marco Montali; Ario Santoso (CoRR, 2014)

Query Answering in Bayesian Description Logics. - Ismail Ilkan Ceylan (Description Logics, 2015)

Answering EL Queries in the Presence of Preferences. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Rafael Peñaloza (Description Logics, 2015)

Dynamic Bayesian Description Logics. - Ismail Ilkan Ceylan; Rafael Peñaloza (Description Logics, 2015)

The Bayesian Ontology Reasoner is BORN! - Ismail Ilkan Ceylan; Julian Mendez 002; Rafael Peñaloza (ORE, 2015)

Probabilistic Query Answering in the Bayesian Description Logic BEL. - Ismail Ilkan Ceylan; Rafael Peñaloza (SUM, 2015)

Dynamic Bayesian Ontology Languages. - Ismail Ilkan Ceylan; Rafael Peñaloza (CoRR, 2015)

Open World Probabilistic Databases (Extended Abstract). - Ismail Ilkan Ceylan; Adnan Darwiche; Guy Van den Broeck (Description Logics, 2016)

Complexity Results for Probabilistic Datalog±. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Rafael Peñaloza (ECAI, 2016)

Open-World Probabilistic Databases. - Ismail Ilkan Ceylan; Adnan Darwiche; Guy Van den Broeck (KR, 2016)

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

Anfragebeantwortung in Probabilistischen Datenbanken und Wissensbasen. - Ismail Ilkan Ceylan (Ausgezeichnete Informatikdissertationen, 2017)

Most Probable Explanations for Probabilistic Database Queries. - Ismail Ilkan Ceylan; Stefan Borgwardt; 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 (IJCAI, 2017)

The Bayesian Ontology Language $$ mathcal {BEL}$$ BEL. - Ismail Ilkan Ceylan; Rafael Peñaloza (J. Autom. Reason., 2017)

Recent Advances in Querying Probabilistic Knowledge Bases. - Stefan Borgwardt; Ismail Ilkan Ceylan; Thomas Lukasiewicz (IJCAI, 2018)

A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases. - Ismail Ilkan Ceylan; Thomas Lukasiewicz (RW, 2018)

Query Answering in Probabilistic Data and Knowledge Bases. - Ismail Ilkan Ceylan (2018)

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

Ontology-Mediated Query Answering over Log-Linear Probabilistic Data (Abstract). - Stefan Borgwardt; Ismail Ilkan Ceylan; Thomas Lukasiewicz (Description Logics, 2019)

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

Explanations for Ontology-Mediated Query Answering in Description Logics (Extended Abstract). - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Andrius Vaicenavicius (Description Logics, 2020)

Explanations for Ontology-Mediated Query Answering in Description Logics. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Andrius Vaicenavicius (ECAI, 2020)

A Dichotomy for Homomorphism-Closed Queries on Probabilistic Graphs. - Antoine Amarilli; Ismail Ilkan Ceylan (ICDT, 2020)

On the Approximability of Weighted Model Integration on DNF Structures. - Ralph Abboud; Ismail Ilkan Ceylan; Radoslav Dimitrov (KR, 2020)

Explanations for Negative Query Answers under Existential Rules. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Cristian Molinaro; Andrius Vaicenavicius (KR, 2020)

BoxE: A Box Embedding Model for Knowledge Base Completion. - Ralph Abboud; Ismail Ilkan Ceylan; Thomas Lukasiewicz; Tommaso Salvatori (NeurIPS, 2020)

Preferred Explanations for Ontology-Mediated Queries under Existential Rules. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Cristian Molinaro; Andrius Vaicenavicius (AAAI, 2021)

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

Open-world probabilistic databases: Semantics, algorithms, complexity. - Ismail Ilkan Ceylan; Adnan Darwiche; Guy Van den Broeck (Artif. Intell., 2021)

Node Classification Meets Link Prediction on Knowledge Graphs. - Ralph Abboud; Ismail Ilkan Ceylan (CoRR, 2021)

Temporal Knowledge Graph Completion Using Box Embeddings. - Johannes Messner; Ralph Abboud; Ismail Ilkan Ceylan (AAAI, 2022)

Equivariant Quantum Graph Circuits. - Péter Mernyei; Konstantinos Meichanetzidis; Ismail Ilkan Ceylan (ICML, 2022)

Shortest Path Networks for Graph Property Prediction. - Ralph Abboud; Radoslav Dimitrov; Ismail Ilkan Ceylan (LoG, 2022)

Query Answer Explanations under Existential Rules. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Andrius Vaicenavicius (SEBD, 2022)

Approximate weighted model integration on DNF structures. - Ralph Abboud; Ismail Ilkan Ceylan; Radoslav Dimitrov (Artif. Intell., 2022)

The Dichotomy of Evaluating Homomorphism-Closed Queries on Probabilistic Graphs. - Antoine Amarilli; Ismail Ilkan Ceylan (Log. Methods Comput. Sci., 2022)

Zero-One Laws of Graph Neural Networks. - Sam Adam-Day; Theodor-Mihai Iliant; Ismail Ilkan Ceylan (NeurIPS, 2023)

PlanE: Representation Learning over Planar Graphs. - Radoslav Dimitrov; Zeyang Zhao; Ralph Abboud; Ismail Ilkan Ceylan (NeurIPS, 2023)

A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs. - Xingyue Huang; Miguel Romero 001; Ismail Ilkan Ceylan; Pablo Barceló (NeurIPS, 2023)

A Theory of Link Prediction via Relational Weisfeiler-Leman. - Xingyue Huang; Miguel A. Romero Orth; Ismail Ilkan Ceylan; Pablo Barceló (CoRR, 2023)

Equivariant quantum graph circuits: constructions for universal approximation over graphs. - Péter Mernyei; Konstantinos Meichanetzidis; Ismail Ilkan Ceylan (Quantum Mach. Intell., 2023)

Position: Future Directions in the Theory of Graph Machine Learning. - Christopher Morris 001; Fabrizio Frasca; Nadav Dym; Haggai Maron; Ismail Ilkan Ceylan; Ron Levie; Derek Lim; Michael M. Bronstein; Martin Grohe; Stefanie Jegelka (ICML, 2024)

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

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

Almost Surely Asymptotically Constant Graph Neural Networks. - Sam Adam-Day; Michael Benedikt; Ismail Ilkan Ceylan; Ben Finkelshtein (NeurIPS, 2024)

Fisher Flow Matching for Generative Modeling over Discrete Data. - Oscar Davis; Samuel Kessler; Mircea Petrache; Ismail Ilkan Ceylan; Michael M. Bronstein; Avishek Joey Bose (NeurIPS, 2024)

Learning on Large Graphs using Intersecting Communities. - Ben Finkelshtein; Ismail Ilkan Ceylan; Michael M. Bronstein; Ron Levie (NeurIPS, 2024)

Future Directions in Foundations of Graph Machine Learning. - Christopher Morris 001; Nadav Dym; Haggai Maron; Ismail Ilkan Ceylan; Fabrizio Frasca; Ron Levie; Derek Lim; Michael M. Bronstein; Martin Grohe; Stefanie Jegelka (CoRR, 2024)

Graph neural network outputs are almost surely asymptotically constant. - Sam Adam-Day; Michael Benedikt; Ismail Ilkan Ceylan; Ben Finkelshtein (CoRR, 2024)

One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs. - Krzysztof Olejniczak; Xingyue Huang; Ismail Ilkan Ceylan; Mikhail Galkin 001 (CoRR, 2024)

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

Explanations for query answers under existential rules. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Andrius Vaicenavicius (Artif. Intell., 2025)

Link Prediction with Relational Hypergraphs. - Xingyue Huang; Miguel A. Romero Orth; Pablo Barceló; Michael M. Bronstein; Ismail Ilkan Ceylan (Trans. Mach. Learn. Res., 2025)

How Expressive are Knowledge Graph Foundation Models? - Xingyue Huang; Pablo Barceló; Michael M. Bronstein; Ismail Ilkan Ceylan; Mikhail Galkin 001; Juan L. Reutter; Miguel Romero 001 (CoRR, 2025)

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs. - Xingyue Huang; Mikhail Galkin 001; Michael M. Bronstein; Ismail Ilkan Ceylan (CoRR, 2025)

Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models. - Ben Finkelshtein; Ismail Ilkan Ceylan; Michael M. Bronstein; Ron Levie (CoRR, 2025)