Fundamentals of Algebraic Graph Transformation
By H. Ehrig, K. Ehrig, Ulrike Golas, G. Taentzer. Monographs in Theoretical Computer Science. An EATCS Series, 2006
1,160 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Software
View Paper: https://www.semanticscholar.org/paper/d0363de26c5e11cd739e10617960ac88161f6916
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Bob Coecke
- Ross Duncan
- Krzysztof Czarnecki
- Nate Foster
- Andy Schürr
- Ralf Lämmel
- James F. Terwilliger
- Zhenjiang Hu
In Computer Vision and Pattern Recognition
In Software
- Ross Duncan
- Bob Coecke
- Krzysztof Czarnecki
- Nate Foster
- Andy Schürr
- Ralf Lämmel
- James F. Terwilliger
- Zhenjiang Hu
Citations in the corpus
- Interacting quantum observables: categorical algebra and diagrammatics (2009, methodology): “The notion of rewriting as formal mathematical tool has a long history in computer science (the text books [5] and [40] provide detailed references), and the zx-calculus introduced in this paper has indeed been implemented in a software tool [33, 34, 32].”
- t|ket⟩: a retargetable compiler for NISQ devices (2020, background): “See Ehrig et al [56]. desired gate set; when external information is required the predicates are generated by higher-order functions.”
- Bidirectional Transformations: A Cross-Discipline Perspective (2009, methodology): “by simply applying the involved rewrite rule with exchanged left- and righthand side [35].”
- Henshin: advanced concepts and tools for in-place EMF model transformations (2010, background): “The Henshin transformation language is based on graph transformation concepts [11,12,13] and therefore offers a visual syntax and means for formal reasoning about transformations.”