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ORCIDIsmail Ilkan Ceylan
Person information
- affiliation: University of Oxford, UK
- unicode name: İsmail İlkan Ceylan
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2020 – today
- 2024
[c45]Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka:
Position: Future Directions in the Theory of Graph Machine Learning. ICML 2024- [c44]Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan:
Cooperative Graph Neural Networks. ICML 2024 - [c43]Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger:
Homomorphism Counts for Graph Neural Networks: All About That Basis. ICML 2024 - [c42]Sam Adam-Day, Michael Benedikt, Ismail Ilkan Ceylan, Ben Finkelshtein:
Almost Surely Asymptotically Constant Graph Neural Networks. NeurIPS 2024 - [c41]Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose:
Fisher Flow Matching for Generative Modeling over Discrete Data. NeurIPS 2024 - [c40]Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie:
Learning on Large Graphs using Intersecting Communities. NeurIPS 2024 - [i23]Christopher Morris, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Fabrizio Frasca, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka:
Future Directions in Foundations of Graph Machine Learning. CoRR abs/2402.02287 (2024) - [i22]Xingyue Huang, Miguel A. Romero Orth, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan:
Link Prediction with Relational Hypergraphs. CoRR abs/2402.04062 (2024) - [i21]Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger:
Homomorphism Counts for Graph Neural Networks: All About That Basis. CoRR abs/2402.08595 (2024) - [i20]Sam Adam-Day, Michael Benedikt, Ismail Ilkan Ceylan, Ben Finkelshtein:
Graph neural network outputs are almost surely asymptotically constant. CoRR abs/2403.03880 (2024) - [i19]Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose:
Fisher Flow Matching for Generative Modeling over Discrete Data. CoRR abs/2405.14664 (2024) - [i18]Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie:
Learning on Large Graphs using Intersecting Communities. CoRR abs/2405.20724 (2024) - [i17]Krzysztof Olejniczak, Xingyue Huang, Ismail Ilkan Ceylan, Mikhail Galkin:
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs. CoRR abs/2409.13959 (2024) - [i16]Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger:
Homomorphism Counts as Structural Encodings for Graph Learning. CoRR abs/2410.18676 (2024) - 2023
- [j5]Péter Mernyei
, Konstantinos Meichanetzidis, Ismail Ilkan Ceylan:
Equivariant quantum graph circuits: constructions for universal approximation over graphs. Quantum Mach. Intell. 5(1): 1-20 (2023) - [c39]Sam Adam-Day, Theodor-Mihai Iliant, Ismail Ilkan Ceylan:
Zero-One Laws of Graph Neural Networks. NeurIPS 2023 - [c38]Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud, Ismail Ilkan Ceylan:
PlanE: Representation Learning over Planar Graphs. NeurIPS 2023 - [c37]Xingyue Huang, Miguel Romero, Ismail Ilkan Ceylan, Pablo Barceló:
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs. NeurIPS 2023 - [i15]Sam Adam-Day, Theodor-Mihai Iliant, Ismail Ilkan Ceylan:
Zero-One Laws of Graph Neural Networks. CoRR abs/2301.13060 (2023) - [i14]Xingyue Huang, Miguel A. Romero Orth, Ismail Ilkan Ceylan, Pablo Barceló:
A Theory of Link Prediction via Relational Weisfeiler-Leman. CoRR abs/2302.02209 (2023) - [i13]Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud, Ismail Ilkan Ceylan:
PlanE: Representation Learning over Planar Graphs. CoRR abs/2307.01180 (2023) - [i12]Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan:
Cooperative Graph Neural Networks. CoRR abs/2310.01267 (2023) - 2022
- [j4]Ralph Abboud, Ismail Ilkan Ceylan, Radoslav Dimitrov:
Approximate weighted model integration on DNF structures. Artif. Intell. 311: 103753 (2022) - [j3]Antoine Amarilli, Ismail Ilkan Ceylan:
The Dichotomy of Evaluating Homomorphism-Closed Queries on Probabilistic Graphs. Log. Methods Comput. Sci. 18(1) (2022) - [c36]Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan:
Temporal Knowledge Graph Completion Using Box Embeddings. AAAI 2022: 7779-7787 - [c35]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius:
Explanations for Negative Query Answers under Existential Rules. DP@AI*IA 2022: 65-74 - [c34]Péter Mernyei, Konstantinos Meichanetzidis, Ismail Ilkan Ceylan:
Equivariant Quantum Graph Circuits. ICML 2022: 15401-15420 - [c33]Ralph Abboud, Radoslav Dimitrov, Ismail Ilkan Ceylan:
Shortest Path Networks for Graph Property Prediction. LoG 2022: 5 - [c32]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Query Answer Explanations under Existential Rules. SEBD 2022: 481-488 - [i11]Ralph Abboud, Radoslav Dimitrov, Ismail Ilkan Ceylan:
Shortest Path Networks for Graph Property Prediction. CoRR abs/2206.01003 (2022) - 2021
- [j2]Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck:
Open-world probabilistic databases: Semantics, algorithms, complexity. Artif. Intell. 295: 103474 (2021) - [c31]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius:
Preferred Explanations for Ontology-Mediated Queries under Existential Rules. AAAI 2021: 6262-6270 - [c30]Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz:
The Surprising Power of Graph Neural Networks with Random Node Initialization. IJCAI 2021: 2112-2118 - [i10]Ralph Abboud, Ismail Ilkan Ceylan:
Node Classification Meets Link Prediction on Knowledge Graphs. CoRR abs/2106.07297 (2021) - [i9]Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan:
Temporal Knowledge Graph Completion using Box Embeddings. CoRR abs/2109.08970 (2021) - [i8]Péter Mernyei, Konstantinos Meichanetzidis, Ismail Ilkan Ceylan:
Equivariant Quantum Graph Circuits. CoRR abs/2112.05261 (2021) - 2020
- [c29]Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. AAAI 2020: 3097-3104 - [c28]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Explanations for Ontology-Mediated Query Answering in Description Logics (Extended Abstract). Description Logics 2020 - [c27]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Explanations for Ontology-Mediated Query Answering in Description Logics. ECAI 2020: 672-679 - [c26]Antoine Amarilli, Ismail Ilkan Ceylan:
A Dichotomy for Homomorphism-Closed Queries on Probabilistic Graphs. ICDT 2020: 5:1-5:20 - [c25]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius:
Explanations for Negative Query Answers under Existential Rules. KR 2020: 223-232 - [c24]Ralph Abboud, Ismail Ilkan Ceylan, Radoslav Dimitrov:
On the Approximability of Weighted Model Integration on DNF Structures. KR 2020: 828-837 - [c23]Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori:
BoxE: A Box Embedding Model for Knowledge Base Completion. NeurIPS 2020 - [i7]Ralph Abboud, Ismail Ilkan Ceylan, Radoslav Dimitrov:
On the Approximability of Weighted Model Integration on DNF Structures. CoRR abs/2002.06726 (2020) - [i6]Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori:
BoxE: A Box Embedding Model for Knowledge Base Completion. CoRR abs/2007.06267 (2020) - [i5]Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz:
The Surprising Power of Graph Neural Networks with Random Node Initialization. CoRR abs/2010.01179 (2020)
2010 – 2019
- 2019
- [c22]Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data. AAAI 2019: 2711-2718 - [c21]Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data (Abstract). Description Logics 2019 - [c20]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Explanations for Query Answers under Existential Rules. IJCAI 2019: 1639-1646 - [i4]Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. CoRR abs/1904.02688 (2019) - [i3]Antoine Amarilli, Ismail Ilkan Ceylan:
A Dichotomy for Homomorphism-Closed Queries on Probabilistic Graphs. CoRR abs/1910.02048 (2019) - 2018
- [b1]Ismail Ilkan Ceylan:
Query Answering in Probabilistic Data and Knowledge Bases. Dresden University of Technology, Germany, 2018, pp. 1-207 - [c19]Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Recent Advances in Querying Probabilistic Knowledge Bases. IJCAI 2018: 5420-5426 - [c18]Ismail Ilkan Ceylan, Thomas Lukasiewicz:
A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases. RW 2018: 35-77 - 2017
- [j1]Ismail Ilkan Ceylan, Rafael Peñaloza:
The Bayesian Ontology Language $$\mathcal {BEL}$$ BEL. J. Autom. Reason. 58(1): 67-95 (2017) - [c17]Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Queries for Probabilistic Databases. AAAI 2017: 1063-1069 - [c16]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza, Oana Tifrea-Marciuska:
Query Answering in Ontologies under Preference Rankings. IJCAI 2017: 943-949 - [c15]Ismail Ilkan Ceylan, Stefan Borgwardt, Thomas Lukasiewicz:
Most Probable Explanations for Probabilistic Database Queries. IJCAI 2017: 950-956 - [c14]Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck:
Open-World Probabilistic Databases: An Abridged Report. IJCAI 2017: 4796-4800 - [p1]Ismail Ilkan Ceylan:
Anfragebeantwortung in Probabilistischen Datenbanken und Wissensbasen. Ausgezeichnete Informatikdissertationen 2017: 51-60 - 2016
- [c13]Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck:
Open World Probabilistic Databases (Extended Abstract). Description Logics 2016 - [c12]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza:
Complexity Results for Probabilistic Datalog±. ECAI 2016: 1414-1422 - [c11]Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck:
Open-World Probabilistic Databases. KR 2016: 339-348 - 2015
- [c10]Ismail Ilkan Ceylan:
Query Answering in Bayesian Description Logics. Description Logics 2015 - [c9]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza:
Answering EL Queries in the Presence of Preferences. Description Logics 2015 - [c8]Ismail Ilkan Ceylan, Rafael Peñaloza:
Dynamic Bayesian Description Logics. Description Logics 2015 - [c7]Ismail Ilkan Ceylan, Julian Mendez, Rafael Peñaloza:
The Bayesian Ontology Reasoner is BORN! ORE 2015: 8-14 - [c6]Ismail Ilkan Ceylan, Rafael Peñaloza:
Probabilistic Query Answering in the Bayesian Description Logic BEL. SUM 2015: 21-35 - [i2]Ismail Ilkan Ceylan, Rafael Peñaloza:
Dynamic Bayesian Ontology Languages. CoRR abs/1506.08030 (2015) - 2014
- [c5]Ismail Ilkan Ceylan, Rafael Peñaloza:
Reasoning in the Description Logic BEL Using Bayesian Networks. StarAI@AAAI 2014 - [c4]Ismail Ilkan Ceylan, Rafael Peñaloza:
The Bayesian Description Logic ${\mathcal{BEL}}$. IJCAR 2014: 480-494 - [c3]Ismail Ilkan Ceylan, Rafael Peñaloza:
Bayesian Description Logics. Description Logics 2014: 447-458 - [c2]Ismail Ilkan Ceylan, Rafael Peñaloza:
Tight Complexity Bounds for Reasoning in the Description Logic $\mathcal{BE{\kern-.1em}L}$. JELIA 2014: 77-91 - [c1]Diego Calvanese, Ismail Ilkan Ceylan, Marco Montali, Ario Santoso:
Verification of Context-Sensitive Knowledge and Action Bases. JELIA 2014: 514-528 - [i1]Diego Calvanese, Ismail Ilkan Ceylan, Marco Montali, Ario Santoso:
Adding Context to Knowledge and Action Bases. CoRR abs/1412.7965 (2014)
Coauthor Index
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