Cargando…

Multilevel Typed Graph Transformations

Multilevel modeling extends traditional modeling techniques with a potentially unlimited number of abstraction levels. Multilevel models can be formally represented by multilevel typed graphs whose manipulation and transformation are carried out by multilevel typed graph transformation rules. These...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wolter, Uwe, Macías, Fernando, Rutle, Adrian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314735/ http://dx.doi.org/10.1007/978-3-030-51372-6_10

Ejemplares similares

Handbook of graph grammars and computing by graph transformation
por: Ehrig, H, et al.
Publicado: (1999)

Handbook of graph grammars and computing by graph transformation
por: Rozenberg, G
Publicado: (1997)

Towards Multiple Model Synchronization with Comprehensive Systems
por: Stünkel, Patrick, et al.
Publicado: (2020)

SGGformer: Shifted Graph Convolutional Graph-Transformer for Traffic Prediction
por: Pu, Shilin, et al.
Publicado: (2022)

Graph transformation for enzymatic mechanisms
por: Andersen, Jakob L, et al.
Publicado: (2021)

Fundamentals of algebraic graph transformation
por: Ehrig, Hartmut, et al.
Publicado: (2006)

Graph Parsing as Graph Transformation: Correctness of Predictive Top-Down Parsers
por: Drewes, Frank, et al.
Publicado: (2020)

Graph Consistency as a Graduated Property: Consistency-Sustaining and -Improving Graph Transformations
por: Kosiol, Jens, et al.
Publicado: (2020)

A Graph-Transformational Approach to Swarm Computation
por: Abdenebaoui, Larbi, et al.
Publicado: (2021)

Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer
por: Lai, Xin, et al.
Publicado: (2023)

Design of Knowledge Graph Retrieval System for Legal and Regulatory Framework of Multilevel Latent Semantic Indexing
por: Zhu, Guicun, et al.
Publicado: (2022)

DGTR: Dynamic graph transformer for rumor detection
por: Wei, Siqi, et al.
Publicado: (2023)

Analysis and correctness of algebraic graph and model transformations
por: Golas, Ulrike
Publicado: (2011)

Formal Verification of Invariants for Attributed Graph Transformation Systems Based on Nested Attributed Graph Conditions
por: Schneider, Sven, et al.
Publicado: (2020)

Compositional Analysis of Probabilistic Timed Graph Transformation Systems
por: Maximova, Maria, et al.
Publicado: (2021)

A Graph-Transformer for Whole Slide Image Classification
por: Zheng, Yi, et al.
Publicado: (2022)

MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction
por: Liu, Shaohua, et al.
Publicado: (2022)

Mellin transforms, Holonomic sequences and invariants of Feynman graphs
por: Brown, Francis
Publicado: (2023)

AFTGAN: prediction of multi-type PPI based on attention free transformer and graph attention network
por: Kang, Yanlei, et al.
Publicado: (2023)

Multilevel Impacts of Transformational Leadership on Service Quality: Evidence From China
por: Su, Fangguo, et al.
Publicado: (2019)

Algebraic graph-assisted bidirectional transformers for molecular property prediction
por: Chen, Dong, et al.
Publicado: (2021)

Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling
por: Corrias, Riccardo, et al.
Publicado: (2023)

Contextual protein and antibody encodings from equivariant graph transformers
por: Mahajan, Sai Pooja, et al.
Publicado: (2023)

Clustering under the line graph transformation: application to reaction network
por: Nacher, Jose C, et al.
Publicado: (2004)

Graph-based algorithms for Laplace transformed coalescence time distributions
por: Bisschop, Gertjan
Publicado: (2022)

Graph–sequence attention and transformer for predicting drug–target affinity
por: Yan, Xiangfeng, et al.
Publicado: (2022)

Hierarchical graph transformer with contrastive learning for protein function prediction
por: Gu, Zhonghui, et al.
Publicado: (2023)

Atomic protein structure refinement using all-atom graph representations and SE(3)-equivariant graph transformer
por: Wu, Tianqi, et al.
Publicado: (2023)

On Divided-Type Connectivity of Graphs
por: Zhou, Qiao, et al.
Publicado: (2023)

A New Surrogating Algorithm by the Complex Graph Fourier Transform (CGFT)
por: Belda, Jordi, et al.
Publicado: (2019)

Pharmacophoric-constrained heterogeneous graph transformer model for molecular property prediction
por: Jiang, Yinghui, et al.
Publicado: (2023)

Automatic Modulation Classification Based on CNN-Transformer Graph Neural Network
por: Wang, Dong, et al.
Publicado: (2023)

Graph-to-signal transformation based classification of functional connectivity brain networks
por: Munia, Tamanna Tabassum Khan, et al.
Publicado: (2019)

A type-augmented knowledge graph embedding framework for knowledge graph completion
por: He, Peng, et al.
Publicado: (2023)

A graph extension of the positional Burrows–Wheeler transform and its applications
por: Novak, Adam M., et al.
Publicado: (2017)

Prediction of Gastric Cancer-Related Genes Based on the Graph Transformer Network
por: Chen, Yan, et al.
Publicado: (2022)

We Need to Change: Integrating Psychological Perspectives Into the Multilevel Perspective on Socio-Ecological Transformations
por: Wullenkord, Marlis C., et al.
Publicado: (2021)

Multilevel Fine Fault Diagnosis Method for Motors Based on Feature Extraction of Fractional Fourier Transform
por: Wu, Hao, et al.
Publicado: (2022)

Single-cell biological network inference using a heterogeneous graph transformer
por: Ma, Anjun, et al.
Publicado: (2023)

Spatial–Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting
por: Banerjee, Soumyanil, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_psv6jmoo2pbigit3mn0qp0t4t4