Combined graph kernels for automatic patent classification: A hybrid approach
Sign Up to like & getrecommendations! Published in 2019 at "World Patent Information"
DOI: 10.1016/j.wpi.2019.03.002
Abstract: Abstract In this study, we proposed combined kernel-based methods to leverage patent citation graph performance for patent classification. The concept is to use the combined graph kernels of the citation graph to classify patent documents,… read more here.
Keywords: combined graph; patent classification; graph kernels; patent ... See more keywords
graphkernels: R and Python packages for graph comparison
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx602
Abstract: Abstract Summary Measuring the similarity of graphs is a fundamental step in the analysis of graph-structured data, which is omnipresent in computational biology. Graph kernels have been proposed as a powerful and efficient approach to… read more here.
Keywords: graph comparison; graphkernels python; python packages; graph kernels ... See more keywords
Learning Structural Node Representations Using Graph Kernels
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2947478
Abstract: Many applications require identifying nodes that perform similar functions in a graph. For instance, identifying structurally equivalent nodes can provide insight into the structure of complex networks. Learning latent representations that capture such structural role… read more here.
Keywords: node representations; structural node; learning structural; using graph ... See more keywords
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2021.3081530
Abstract: As the scientific community prepares to deploy an increasingly complex and diverse set of applications on exascale platforms, the need to assess reproducibility of simulations and identify the root causes of reproducibility failures increases correspondingly.… read more here.
Keywords: reproducibility; communication; determinism; non determinism ... See more keywords
A Truss-Based Framework for Graph Similarity Computation
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Database Management"
DOI: 10.4018/jdm.322087
Abstract: The study of graph kernels has been an important area of graph analysis, which is widely used to solve the similarity problems between graphs. Most of the existing graph kernels consider either local or global… read more here.
Keywords: truss based; similarity; framework graph; graph kernels ... See more keywords