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Matthias Lanzinger
Person information
- affiliation: TU Wien, Vienna, Austria
- affiliation (former): University of Oxford, UK
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2020 – today
- 2024
- [j6]Georg Gottlob
, Matthias Lanzinger
Fast Parallel Hypertree Decompositions in Logarithmic Recursion Depth. ACM Trans. Database Syst. 49(1): 1:1-1:43 (2024) - [c20]Matthias Lanzinger, Pablo Barceló:
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters. ICLR 2024 - [c19]Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger:
Homomorphism Counts for Graph Neural Networks: All About That Basis. ICML 2024 - [c18]Matthias Lanzinger, Stefano Sferrazza, Przemyslaw Andrzej Walega, Georg Gottlob:
Fuzzy Datalog∃ over Arbitrary t-Norms. LPAR 2024: 426-444 - [c17]Matthias Lanzinger, Igor Razgon:
FPT Approximation of Generalised Hypertree Width for Bounded Intersection Hypergraphs. STACS 2024: 48:1-48:17 - [e1]Mario Alviano, Matthias Lanzinger:
Proceedings 5th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2024) co-located with the 17th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2024), Dallas, Texas, USA, October 11, 2024. CEUR Workshop Proceedings 3801, CEUR-WS.org 2024 [contents] - [i20]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) - [i19]Matthias Lanzinger, Stefano Sferrazza, Przemyslaw Andrzej Walega, Georg Gottlob:
Fuzzy Datalog∃ over Arbitrary t-Norms. CoRR abs/2403.02933 (2024) - [i18]Matthias Lanzinger, Reinhard Pichler, Alexander Selzer:
Avoiding Materialisation for Guarded Aggregate Queries. CoRR abs/2406.17076 (2024) - [i17]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]Matthias Lanzinger
Tractability beyond β-acyclicity for conjunctive queries with negation and SAT. Theor. Comput. Sci. 942: 276-296 (2023) - [j4]Georg Gottlob, Matthias Lanzinger
Fractional covers of hypergraphs with bounded multi-intersection. Theor. Comput. Sci. 979: 114204 (2023) - [c16]Georg Gottlob, Matthias Lanzinger, Davide Mario Longo, Cem Okulmus, Reinhard Pichler, Alexander Selzer:
Reaching Back to Move Forward: Using Old Ideas to Achieve a New Level of Query Optimization (short paper). AMW 2023 - [c15]Matthias Lanzinger, Markus Nissl, Emanuel Sallinger, Przemyslaw Andrzej Walega:
Temporal Datalog with Existential Quantification. IJCAI 2023: 3277-3285 - [c14]Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob:
MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract). IJCAI 2023: 6447-6451 - [c13]Mario Alviano
Generative Datalog with Stable Negation. PODS 2023: 21-32 - [c12]Marco Bressan, Matthias Lanzinger, Marc Roth
The Complexity of Pattern Counting in Directed Graphs, Parameterised by the Outdegree. STOC 2023: 542-552 - [i16]Georg Gottlob, Matthias Lanzinger, Davide Mario Longo, Cem Okulmus, Reinhard Pichler, Alexander Selzer:
Structure-Guided Query Evaluation: Towards Bridging the Gap from Theory to Practice. CoRR abs/2303.02723 (2023) - [i15]Matthias Lanzinger, Igor Razgon:
FPT Approximation of Generalised Hypertree Width for Bounded Intersection Hypergraphs. CoRR abs/2309.17049 (2023) - [i14]Matthias Lanzinger, Pablo Barceló:
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters. CoRR abs/2309.17053 (2023) - 2022
- [j3]Georg Gottlob
Incremental Updates of Generalized Hypertree Decompositions. ACM J. Exp. Algorithmics 27: 1.16:1-1.16:28 (2022) - [j2]Matthias Lanzinger, Stefano Sferrazza
MV-Datalog+-: Effective Rule-based Reasoning with Uncertain Observations. Theory Pract. Log. Program. 22(5): 678-692 (2022) - [c11]Andrei Draghici, Georg Gottlob, Matthias Lanzinger:
On the Complexity of Inductively Learning Guarded Clauses. AAAI 2022: 5600-5607 - [c10]Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob:
New Perspectives for Fuzzy Datalog (Extended Abstract). Datalog 2022: 42-47 - [c9]Matthias Lanzinger, Przemyslaw Andrzej Walega:
Datalog with Existential Quantifiers and Temporal Operators (Extended Abstract). Datalog 2022: 139-144 - [c8]Marta Bernardini, Matthias Lanzinger, Rosario Laurendi, Stefano Sferrazza:
Family Link Detection in Uncertain Settings with MV-Datalog±. EDBT/ICDT Workshops 2022 - [c7]Matthias Lanzinger:
The Complexity of Conjunctive Queries with Degree 2. PODS 2022: 91-102 - [c6]Georg Gottlob, Matthias Lanzinger, Cem Okulmus, Reinhard Pichler:
Fast Parallel Hypertree Decompositions in Logarithmic Recursion Depth. PODS 2022: 325-336 - [i13]Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob:
MV-Datalog+-: Effective Rule-based Reasoning with Uncertain Observations. CoRR abs/2202.01718 (2022) - [i12]Mario Alviano, Matthias Lanzinger, Michael Morak, Andreas Pieris:
Generative Datalog with Stable Negation. CoRR abs/2206.12247 (2022) - [i11]Georg Gottlob, Matthias Lanzinger, Davide Mario Longo, Cem Okulmus:
Incremental Updates of Generalized Hypertree Decompositions. CoRR abs/2209.10375 (2022) - [i10]Marco Bressan, Matthias Lanzinger, Marc Roth:
The Complexity of Pattern Counting in Directed Graphs, Parameterised by the Outdegree. CoRR abs/2211.01905 (2022) - 2021
- [j1]Georg Gottlob, Matthias Lanzinger, Reinhard Pichler, Igor Razgon:
Complexity Analysis of Generalized and Fractional Hypertree Decompositions. J. ACM 68(5): 38:1-38:50 (2021) - [c5]Matthias Lanzinger:
Tractability Beyond ß-Acyclicity for Conjunctive Queries with Negation. PODS 2021: 355-369 - [i9]Georg Gottlob, Matthias Lanzinger, Cem Okulmus, Reinhard Pichler:
Fast Parallel Hypertree Decompositions in Logarithmic Recursion Depth. CoRR abs/2104.13793 (2021) - [i8]Andrei Draghici, Georg Gottlob, Matthias Lanzinger:
On the Complexity of Inductively Learning Guarded Rules. CoRR abs/2110.03624 (2021) - [i7]Matthias Lanzinger:
Forbidden Substructures for Tractable Conjunctive Query Answering with Degree 2. CoRR abs/2111.11532 (2021) - 2020
- [c4]Georg Gottlob
The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions. CPAIOR 2020: 3-21 - [c3]Hubie Chen, Georg Gottlob, Matthias Lanzinger, Reinhard Pichler:
Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems. IJCAI 2020: 1726-1733 - [c2]Georg Gottlob, Matthias Lanzinger, Reinhard Pichler, Igor Razgon:
Fractional Covers of Hypergraphs with Bounded Multi-Intersection. MFCS 2020: 41:1-41:14 - [i6]Georg Gottlob, Matthias Lanzinger, Reinhard Pichler, Igor Razgon:
Complexity Analysis of General and Fractional Hypertree Decompositions. CoRR abs/2002.05239 (2020) - [i5]Georg Gottlob, Matthias Lanzinger, Reinhard Pichler, Igor Razgon:
Fractional Covers of Hypergraphs with Bounded Multi-Intersection. CoRR abs/2007.01830 (2020) - [i4]Matthias Lanzinger:
Tractability Beyond β-Acyclicity for Conjunctive Queries with Negation. CoRR abs/2007.08876 (2020) - [i3]Hubie Chen, Georg Gottlob, Matthias Lanzinger, Reinhard Pichler:
Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems. CoRR abs/2007.14169 (2020) - [i2]Georg Gottlob, Matthias Lanzinger, Davide Mario Longo, Cem Okulmus, Reinhard Pichler:
The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions. CoRR abs/2012.14762 (2020)
2010 – 2019
- 2019
- [c1]Georg Gottlob, Matthias Lanzinger, Reinhard Pichler:
Semantic Width Revisited (Extended Abstract). AMW 2019 - 2018
- [i1]Georg Gottlob, Matthias Lanzinger, Reinhard Pichler:
Semantic Width of Conjunctive Queries and Constraint Satisfaction Problems. CoRR abs/1812.04329 (2018)
Coauthor Index
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