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GRAPH KERNEL

  • Graph kernel
  • In structure mining, a graph kernel is a kernel function that computes an inner product on graphs. Graph kernels can be intuitively understood as functions

    Graph kernel

    Graph_kernel

  • Kernel method
  • Class of algorithms for pattern analysis

    recognition. Fisher kernel Graph kernels Kernel smoother Polynomial kernel Radial basis function kernel (RBF) String kernels Neural tangent kernel Neural network

    Kernel method

    Kernel_method

  • Weisfeiler Leman graph isomorphism test
  • Heuristic test for graph isomorphism

    be applied. Data represented as graphs often behave nonlinearly. Graph kernels are a method to preprocess such graph based nonlinear data to simplify

    Weisfeiler Leman graph isomorphism test

    Weisfeiler_Leman_graph_isomorphism_test

  • Molecule mining
  • Data mining for patterns in molecule data

    labeled graphs extensions of the marginalized kernel Tanimoto kernels graph kernels based on tree patterns kernels based on pharmacophores for 3D structure

    Molecule mining

    Molecule_mining

  • Laplacian matrix
  • Matrix representation of a graph

    (2003), "Kernels and regularization on graphs", Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop

    Laplacian matrix

    Laplacian_matrix

  • Chemical similarity
  • Chemical term

    distance measures are molecule kernels (graph kernel applied to the description of a molecule as an atom-connectivity graph), that measure the structural

    Chemical similarity

    Chemical similarity

    Chemical_similarity

  • Linux kernel
  • Free Unix-like operating system kernel

    The Linux kernel is a free and open-source Unix-like kernel that is used in many computer systems worldwide. The kernel was created by Linus Torvalds

    Linux kernel

    Linux kernel

    Linux_kernel

  • Kernel density estimation
  • Concept in statistics

    In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method

    Kernel density estimation

    Kernel density estimation

    Kernel_density_estimation

  • Neural operators
  • Machine learning framework

    Kaushik; Stuart, Andrew; Anima, Anandkumar (2020). "Neural operator: Graph kernel network for partial differential equations". arXiv:2003.03485 [cs.LG]

    Neural operators

    Neural_operators

  • Outline of machine learning
  • Overview of and topical guide to machine learning

    trees) Gramian matrix Grammatical evolution Granular computing GraphLab Graph kernel Gremlin (programming language) Growth function HUMANT (HUManoid

    Outline of machine learning

    Outline_of_machine_learning

  • Graph partition
  • Subdivision of vertices into disjoint sets

    In mathematics, a graph partition is the reduction of a graph to a smaller graph by partitioning its set of nodes into mutually exclusive groups. Edges

    Graph partition

    Graph_partition

  • Graph homology
  • In algebraic topology and graph theory, graph homology describes the homology groups of a graph, where the graph is considered as a topological space.

    Graph homology

    Graph_homology

  • Tree kernel
  • among others: [NP [D] [N]] (counted twice), [VP [V [eats]] [NP]]... Graph kernel Parse tree McDonald, Ryan; Pereira, Fernando; Ribarov, Kiril; Hajič,

    Tree kernel

    Tree_kernel

  • Kernelization
  • Algorithmic technique

    kernelization algorithm is the kernelization of the vertex cover problem by S. Buss. In this problem, the input is an undirected graph G {\displaystyle G} together

    Kernelization

    Kernelization

  • Graph neural network
  • Class of artificial neural networks

    Graph neural networks (GNNs) are artificial neural networks designed for tasks whose inputs are graphs. Because graphs usually do not have a canonical

    Graph neural network

    Graph_neural_network

  • Nut graph (graph theory)
  • A family of simple undirected graphs defined by spectral properties

    In graph theory, a nut graph is a finite simple graph on at least two vertices whose adjacency matrix has nullity one and whose kernel is spanned by a

    Nut graph (graph theory)

    Nut_graph_(graph_theory)

  • Windows legacy audio components
  • Obsolete Microsoft Windows audio APIs

    latency communication and still be used within a DirectShow filter graph. Kernel streaming was introduced in Windows 98. When the sound card uses a custom

    Windows legacy audio components

    Windows_legacy_audio_components

  • Glossary of graph theory
  • Appendix:Glossary of graph theory in Wiktionary, the free dictionary. This is a glossary of graph theory. Graph theory is the study of graphs, systems of nodes

    Glossary of graph theory

    Glossary_of_graph_theory

  • Spectral clustering
  • Clustering methods

    propagation Kernel principal component analysis Cluster analysis Spectral graph theory Demmel, J. "CS267: Notes for Lecture 23, April 9, 1999, Graph Partitioning

    Spectral clustering

    Spectral clustering

    Spectral_clustering

  • Graph matching
  • Problem of finding similarity between graphs

    Graph matching is the problem of finding a similarity between graphs. Graphs are commonly used to encode structural information in many fields, including

    Graph matching

    Graph_matching

  • NetBSD
  • Free and open-source Unix-like operating system

    sets). The kernel and userland for these platforms are all built from a central unified source-code tree managed by CVS. Unlike other kernels such as μClinux

    NetBSD

    NetBSD

    NetBSD

  • Kernel methods for vector output
  • Kernel methods are a well-established tool to analyze the relationship between input data and the corresponding output of a function. Kernels encapsulate

    Kernel methods for vector output

    Kernel_methods_for_vector_output

  • Cayley graph
  • Graph defined from a mathematical group

    universal cover of the Cayley graph; and the kernel of the mapping is the fundamental group of the Cayley graph. A Cayley graph of the discrete Heisenberg

    Cayley graph

    Cayley graph

    Cayley_graph

  • Kernel smoother
  • Statistical technique

    A kernel smoother is a statistical technique to estimate a real valued function f : R p → R {\displaystyle f:\mathbb {R} ^{p}\to \mathbb {R} } as the weighted

    Kernel smoother

    Kernel_smoother

  • XNU
  • Computer operating system kernel

    XNU ("X is Not Unix") is the computer operating system (OS) kernel developed at Apple Inc. since December 1996 for use in the Mac OS X (now macOS) operating

    XNU

    XNU

    XNU

  • Netgraph
  • Graph based kernel networking subsystem of FreeBSD and DragonFly BSD

    netgraph is the graph based kernel networking subsystem of FreeBSD since 3.4 and DragonFly BSD since the fork from FreeBSD. Netgraph provides support for

    Netgraph

    Netgraph

  • Perfect graph
  • Graph with tight clique-coloring relation

    In graph theory, a perfect graph is a graph in which the chromatic number equals the size of the maximum clique, both in the graph itself and in every

    Perfect graph

    Perfect graph

    Perfect_graph

  • Fuchsia (operating system)
  • Operating system by Google

    operating systems such as ChromeOS and Android, Fuchsia is based on a custom kernel named Zircon. It publicly debuted as a Google-hosted git repository in August

    Fuchsia (operating system)

    Fuchsia (operating system)

    Fuchsia_(operating_system)

  • Multiple instance learning
  • Type of supervised learning in machine learning

    Classification is done via an SVM with a graph kernel (MIGraph and miGraph only differ in their choice of kernel). Similar approaches are taken by MILES

    Multiple instance learning

    Multiple_instance_learning

  • Steiner tree problem
  • On short connecting nets with added points

    tree and if all edge weights are 1. While the graph Steiner tree problem does not admit a polynomial kernel unless coNP ⊆ NP/poly {\displaystyle {\textsf

    Steiner tree problem

    Steiner tree problem

    Steiner_tree_problem

  • Multimodal representation learning
  • which led to the development of nonlinear extensions, such as kernel CCA and deep CCA. Kernel canonical correlation analysis (KCCA) extends traditional CCA

    Multimodal representation learning

    Multimodal_representation_learning

  • GNU Hurd
  • Operating system kernel designed as a replacement for Unix

    the kernel works. The logo is called the Hurd boxes and it also reflects on architecture. The logo is a graph where nodes represent the Hurd kernel's servers

    GNU Hurd

    GNU Hurd

    GNU_Hurd

  • Karsten Borgwardt
  • German computer scientist (born 1980)

    (SIB). Weisfeiler-Lehman Graph Kernels (’‘Journal of Machine Learning Research’’, 2011): Introduced an efficient graph kernel based on the Weisfeiler-Lehman

    Karsten Borgwardt

    Karsten_Borgwardt

  • S. Joshua Swamidass
  • American academic

    i359-i368. Ralaivola, L., Swamidass, S. J., Saigo, H., & Baldi, P. (2005). Graph kernels for chemical informatics. Neural networks, 18(8), 1093–1110. Li, J.

    S. Joshua Swamidass

    S. Joshua Swamidass

    S._Joshua_Swamidass

  • Text graph
  • Text-structure representation using graph models

    representations Topological and pretopological analysis of graphs Graph kernels, etc. Graph-based methods for applications on social networks Rumor proliferation

    Text graph

    Text_graph

  • Line graph
  • Graph representing edges of another graph

    In the mathematical discipline of graph theory, the line graph of an undirected graph G is another graph L(G) that represents the adjacencies between edges

    Line graph

    Line_graph

  • Andries Brouwer
  • Dutch mathematician and computer programmer (born 1951)

    discrete mathematics, particularly graph theory, finite geometry and coding theory. He has published dozens of papers in graph theory and other areas of combinatorics

    Andries Brouwer

    Andries_Brouwer

  • Graph500
  • Rating of supercomputer systems

    undirected graph (a model of Kronecker graph with average degree of 16). There are three computation kernels in the benchmark: the first kernel is to generate

    Graph500

    Graph500

  • Structure mining
  • Finding and extracting information from semi-structured data sets

    the structure of a document or message facilitates structure mining. Graph kernel Structured content Inductive programming Andrew N Edmonds, On data mining

    Structure mining

    Structure_mining

  • Parallel breadth-first search
  • Parallel version of breadth-first search algorithm

    used by Dinic's algorithm to find maximum flow in a graph. Moreover, BFS is also one of the kernel algorithms in Graph500 benchmark, which is a benchmark

    Parallel breadth-first search

    Parallel_breadth-first_search

  • Shader
  • Type of program in computer graphics

    efficient GPU kernels. Cognition has created Kevin 32-B to create efficient CUDA kernels which is currently the highest performing model on KernelBench. Computer

    Shader

    Shader

    Shader

  • Bandwidth
  • Topics referred to by the same term

    diagonal of a matrix Kernel density estimation, the width of the convolution kernel used in statistics Graph bandwidth, in graph theory Coherence bandwidth

    Bandwidth

    Bandwidth

  • Dimensionality reduction
  • Process of reducing the number of random variables under consideration

    a graph-based kernel for Kernel PCA. More recently, techniques have been proposed that, instead of defining a fixed kernel, try to learn the kernel using

    Dimensionality reduction

    Dimensionality_reduction

  • Maximum cut
  • Problem in graph theory

    bipartite subgraph", Recent Advances in Graph Theory, pp. 167–181. Etscheid, M.; Mnich, M. (2018), "Linear Kernels and Linear-Time Algorithms for Finding

    Maximum cut

    Maximum cut

    Maximum_cut

  • Quantitative structure–activity relationship
  • Predictive chemical model

    there exist also approaches using maximum common subgraph searches or graph kernels. Typically QSAR models derived from non linear machine learning is seen

    Quantitative structure–activity relationship

    Quantitative_structure–activity_relationship

  • Grapher
  • Graphing calculator software bundled with macOS

    Grapher is a computer program bundled with macOS since version 10.4 that is able to create 2D and 3D graphs from simple and complex equations. It includes

    Grapher

    Grapher

  • Nonblocker
  • Subgraph

    Otherwise, the remaining graph is a kernel with at most 2 k {\displaystyle 2k} vertices. Dehne et al. improved this to a kernel of size at most 5 3 k +

    Nonblocker

    Nonblocker

    Nonblocker

  • Free group
  • Mathematics concept

    Hence, the fundamental group of the Cayley graph Γ ( G ) {\displaystyle \Gamma (G)} is isomorphic to the kernel of φ {\displaystyle \varphi } , the normal

    Free group

    Free group

    Free_group

  • Isomap
  • Nonlinear dimensionality reduction method

    However, the kernel matrix K is not always positive semidefinite. The main idea for kernel Isomap is to make this K as a Mercer kernel matrix (that is

    Isomap

    Isomap

    Isomap

  • Unix-like
  • Operating system that behaves similarly to Unix

    POSIX for Linux syscalls within the Linux kernel and LiteOS default kernels side of the system multi-kernel Kernel Abstract Layer subsystem for vendor and

    Unix-like

    Unix-like

    Unix-like

  • Nonlinear dimensionality reduction
  • Projection of data onto lower-dimensional manifolds

    nodes of a graph and the kernel k as defining some sort of affinity on that graph. The graph is symmetric by construction since the kernel is symmetric

    Nonlinear dimensionality reduction

    Nonlinear dimensionality reduction

    Nonlinear_dimensionality_reduction

  • Support vector machine
  • Set of methods for supervised statistical learning

    using the kernel trick, representing the data only through a set of pairwise similarity comparisons between the original data points using a kernel function

    Support vector machine

    Support_vector_machine

  • LIRS caching algorithm
  • Page replacement algorithm

    Linux Kernel Architecture by Wolfgan Mauerer. A paper detailing performance differences of LIRS and other algorithms “The Performance Impact of Kernel Prefetching

    LIRS caching algorithm

    LIRS_caching_algorithm

  • Lively Kernel
  • Open-source web programming environment

    with no tools except a browser. The Lively Kernel uses a Morphic graphics model to add behavior to a scene graph built from browser graphics. Simple graphics

    Lively Kernel

    Lively Kernel

    Lively_Kernel

  • Gaussian function
  • Mathematical function

    non-zero c. It is named after the mathematician Carl Friedrich Gauss. The graph of a Gaussian is a characteristic symmetric "bell curve" shape. The parameter

    Gaussian function

    Gaussian_function

  • Diffusion map
  • Geometric algorithm

    also a version of graph Laplacian matrix) L i , j = k ( x i , x j ) {\displaystyle L_{i,j}=k(x_{i},x_{j})\,} We then define the new kernel L i , j ( α ) =

    Diffusion map

    Diffusion map

    Diffusion_map

  • List of unsolved problems in mathematics
  • combinatorics, algebraic, differential, discrete and Euclidean geometries, graph theory, group theory, mathematical logic, number theory, set theory, Ramsey

    List of unsolved problems in mathematics

    List_of_unsolved_problems_in_mathematics

  • Stein discrepancy
  • Statistical formula

    E ⊆ V × V {\displaystyle E\subseteq V\times V} . From this graph, one can define the graph Stein set as F P = { f : X → R d | max ( ‖ f ( v ) ‖ ∞ , ‖

    Stein discrepancy

    Stein_discrepancy

  • Landau kernel
  • The Landau kernel is named after the German number theorist Edmund Landau. The kernel is a summability kernel defined as: L n ( t ) = { ( 1 − t 2 ) n c

    Landau kernel

    Landau_kernel

  • Nullity
  • Topics referred to by the same term

    dimension of the kernel of a mathematical operator or null space of a matrix Nullity (graph theory), the nullity of the adjacency matrix of a graph Nullity, the

    Nullity

    Nullity

  • Darwin (operating system)
  • Computer operating system

    relating to macOS and iOS. The kernel of Darwin is XNU, a hybrid kernel which uses Open Software Foundation Mach Kernel (OSFMK) 7.3 from the OSF, various

    Darwin (operating system)

    Darwin_(operating_system)

  • Manifold regularization
  • Technique for shaping training datasets

    Semi-supervised learning Transduction (machine learning) Spectral graph theory Reproducing kernel Hilbert space Tikhonov regularization Differential geometry

    Manifold regularization

    Manifold regularization

    Manifold_regularization

  • Dominating set
  • Subset of a graph's nodes such that all other nodes link to at least one

    In graph theory, a dominating set for a graph G is a subset D of its vertices, such that any vertex of G is in D, or has a neighbor in D. The domination

    Dominating set

    Dominating set

    Dominating_set

  • Graph edit distance
  • Measure of similarity between two graphs

    computer science, graph edit distance (GED) is a measure of similarity (or dissimilarity) between two graphs. The concept of graph edit distance was first

    Graph edit distance

    Graph edit distance

    Graph_edit_distance

  • Discrete Laplace operator
  • Analog of the continuous Laplace operator

    in the kernel in the i-th direction, and s is the number of directions i for which xi = 0. Note that the nD version, which is based on the graph generalization

    Discrete Laplace operator

    Discrete_Laplace_operator

  • Dirichlet form
  • Mathematical form

    {R} ^{n}\to \mathbb {R} } is some non-negative symmetric integral kernel. If the kernel k {\displaystyle k} satisfies the bound k ( x , y ) ≤ Λ | x − y

    Dirichlet form

    Dirichlet_form

  • Cyclic group
  • Mathematical group that can be generated as the set of powers of a single element

    graph is a cycle graph, and for an infinite cyclic group with its generator the Cayley graph is a doubly infinite path graph. However, Cayley graphs can

    Cyclic group

    Cyclic group

    Cyclic_group

  • Topological deep learning
  • Research field in deep learning

    computations, including point clouds, meshes, time series, scalar fields graphs, or general topological spaces like simplicial complexes and CW complexes

    Topological deep learning

    Topological_deep_learning

  • Kernel embedding of distributions
  • Class of nonparametric methods

    classes/categories, strings, graphs/networks, images, time series, manifolds, dynamical systems, and other structured objects. The theory behind kernel embeddings of

    Kernel embedding of distributions

    Kernel_embedding_of_distributions

  • Tensor (machine learning)
  • Concept in machine learning

    classification (the recognition of letters and digits in images) by using 4D kernel tensors. Let F {\displaystyle \mathbb {F} } be a field (such as the real

    Tensor (machine learning)

    Tensor_(machine_learning)

  • Histogram
  • Graphical representation of the distribution of numerical data

    _{i=1}^{k}{m_{i}}.} A histogram can be thought of as a simplistic kernel density estimation, which uses a kernel to smooth frequencies over the bins. This yields a smoother

    Histogram

    Histogram

    Histogram

  • Extended Semantic Web Conference
  • ESWC conference series

    ISBN 978-3-642-38287-1. Lösch, Uta; Bloehdorn, Stephan; Rettinger, Achim (2012). "Graph Kernels for RDF Data". The Semantic Web: Research and Applications. Lecture

    Extended Semantic Web Conference

    Extended_Semantic_Web_Conference

  • Book (graph theory)
  • One of two types of graph

    1007/s00029-019-0509-4. MR 4021848. S2CID 85517485. Maffray, Frédéric (1992). "Kernels in perfect line-graphs". Journal of Combinatorial Theory. Series B. 55 (1): 1–8. doi:10

    Book (graph theory)

    Book (graph theory)

    Book_(graph_theory)

  • Git
  • Distributed version control software system

    created by Linus Torvalds for version control in the development of the Linux kernel. The trademark "Git" is registered by the Software Freedom Conservancy.

    Git

    Git

    Git

  • Inode
  • Data structure in a Unix file system

    parent, and each of its children. There has been uncertainty on the Linux kernel mailing list about the reason for the "i" in "inode". In 2002, the question

    Inode

    Inode

  • Borel graph theorem
  • Borel graph theorem is generalization of the closed graph theorem that was proven by L. Schwartz. The Borel graph theorem shows that the closed graph theorem

    Borel graph theorem

    Borel_graph_theorem

  • Bidimensionality
  • range of graph problems (bidimensional) that admit efficient approximate, fixed-parameter or kernel solutions in a broad range of graphs. These graph classes

    Bidimensionality

    Bidimensionality

  • John Shawe-Taylor
  • English academic (born 1953)

    learning theory. He has contributed to a number of fields ranging from graph theory through cryptography to statistical learning theory and its applications

    John Shawe-Taylor

    John Shawe-Taylor

    John_Shawe-Taylor

  • Dominator (graph theory)
  • When every path in a control-flow graph must go through one node to reach another

    In computer science, a node d of a control-flow graph dominates a node n if every path from the entry node to n must go through d. Notationally, this

    Dominator (graph theory)

    Dominator (graph theory)

    Dominator_(graph_theory)

  • Intersection number (graph theory)
  • Fewest cliques covering a graph's edges

    In the mathematical field of graph theory, the intersection number of a graph G = ( V , E ) {\displaystyle G=(V,E)} is the smallest number of elements

    Intersection number (graph theory)

    Intersection number (graph theory)

    Intersection_number_(graph_theory)

  • Module
  • Topics referred to by the same term

    System Modules (C++) Module SQL Loadable kernel module, an object file that contains code to extend the running kernel Environment Modules, a software tool

    Module

    Module

  • RaftLib
  • compute kernels. It enables applications to be constructed from chains of compute kernels forming a task and pipeline parallel compute graph. Programs

    RaftLib

    RaftLib

    RaftLib

  • Closed graph theorem
  • Theorem relating continuity to graphs

    mathematics, the closed graph theorem may refer to one of several basic results characterizing continuous functions in terms of their graphs. Each gives conditions

    Closed graph theorem

    Closed graph theorem

    Closed_graph_theorem

  • Spectral shape analysis
  • used for partial shape matching. The heat kernel signature makes use of the eigen-decomposition of the heat kernel: h t ( x , y ) = ∑ i = 0 ∞ exp ⁡ ( − λ

    Spectral shape analysis

    Spectral_shape_analysis

  • Ramsey's theorem
  • Statement in mathematical combinatorics

    its graph-theoretic forms, states that one will find monochromatic cliques in any edge labelling (with colours) of a sufficiently large complete graph. As

    Ramsey's theorem

    Ramsey's_theorem

  • MacOS version history
  • History of Apple's current Mac operating system

    eventually became the basis for Mac OS X. NeXTSTEP was based on the Mach kernel developed at CMU (Carnegie Mellon University) and BSD, an implementation

    MacOS version history

    MacOS_version_history

  • Dot plot (statistics)
  • Type of bar chart using dots

    the dot chart. The first has been used in hand-drawn (pre-computer era) graphs to depict distributions going back to 1884. The other version is described

    Dot plot (statistics)

    Dot_plot_(statistics)

  • Triangular function
  • Tent function, often used in signal processing

    triangle function, hat function, or tent function) is a function whose graph takes the shape of a triangle. Often this is an isosceles triangle of height

    Triangular function

    Triangular function

    Triangular_function

  • Bipartite dimension
  • Size of biclique cover of a graph

    the size of the resulting kernel, which has meanwhile been improved by Nor et al. (2010). In fact, for a given bipartite graph on n vertices, it can be

    Bipartite dimension

    Bipartite_dimension

  • List of partition topics
  • formula Feshbach–Fano partitioning Foliation Frequency partition Graph partition Kernel of a function Lamination (topology) Matroid partitioning Multipartition

    List of partition topics

    List_of_partition_topics

  • Plot (graphics)
  • Graphical technique for data sets

    plot is a graphical technique for representing a data set, usually as a graph showing the relationship between two or more variables. The plot can be

    Plot (graphics)

    Plot (graphics)

    Plot_(graphics)

  • Profiling (computer programming)
  • Measuring the time or resources used by a section of a computer program

    execution time it used. In 1982 gprof extended the concept to a complete call graph analysis. In 1994, Amitabh Srivastava and Alan Eustace of Digital Equipment

    Profiling (computer programming)

    Profiling_(computer_programming)

  • Ftrace
  • Tracing utility for Linux kernel

    kernel function calls is available, optionally restrictable to a subset of functions by using globs, and with the possibility to generate call graphs

    Ftrace

    Ftrace

  • Cograph
  • Graph formed by complementation and disjoint union

    In graph theory, a cograph, or complement-reducible graph, or P4-free graph, is a graph that can be generated from the single-vertex graph K1 by complementation

    Cograph

    Cograph

    Cograph

  • Perf (Linux)
  • Performance analyzing tool in Linux

    Linux, PCL) is a performance analyzing tool in Linux, available from Linux kernel version 2.6.31 in 2009. Userspace controlling utility, named perf, is accessed

    Perf (Linux)

    Perf_(Linux)

  • Gaussian free field
  • Concept in statistical mechanics

    cover time of graphs (the expected number of steps it takes for the random walk to visit all the vertices). Let P(x, y) be the transition kernel of the Markov

    Gaussian free field

    Gaussian_free_field

  • Wolfram Mathematica
  • Computational software program

    command butlast. Mathematica is split into two parts: the kernel and the front end. The kernel interprets expressions (Wolfram Language code) and returns

    Wolfram Mathematica

    Wolfram Mathematica

    Wolfram_Mathematica

  • Four color theorem
  • Planar maps require at most four colors

    terms of graph theory, by considering it in terms of constructing a graph coloring of the planar graph of adjacencies between regions. In graph-theoretic

    Four color theorem

    Four color theorem

    Four_color_theorem

  • Periodic graph (geometry)
  • A Euclidean graph (a graph embedded in some Euclidean space) is periodic if there exists a basis of that Euclidean space whose corresponding translations

    Periodic graph (geometry)

    Periodic_graph_(geometry)

  • Brendan Gregg
  • Australian computer scientist

    authoring eBPF tracing tools included in multiple operating systems. As a kernel engineer at Sun Microsystems, he developed the ZFS L2ARC, a caching layer

    Brendan Gregg

    Brendan Gregg

    Brendan_Gregg

AI & ChatGPT searchs for online references containing GRAPH KERNEL

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GRAPH KERNEL

  • Burdelais
  • n.

    A sort of grape.

  • Hartford
  • n.

    The Hartford grape, a variety of grape first raised at Hartford, Connecticut, from the Northern fox grape. Its large dark-colored berries ripen earlier than those of most other kinds.

  • Hopper
  • n.

    See Grasshopper, and Frog hopper, Grape hopper, Leaf hopper, Tree hopper, under Frog, Grape, Leaf, and Tree.

  • Grape
  • n.

    Grapeshot.

  • Viticulture
  • n.

    The cultivation of the vine; grape growing.

  • Grape
  • n.

    The plant which bears this fruit; the grapevine.

  • Grape
  • n.

    A mangy tumor on the leg of a horse.

  • Frontignan
  • n.

    A grape of many varieties and colors.

  • Chasselas
  • n.

    A white grape, esteemed for the table.

  • Aciniform
  • a.

    Full of small kernels like a grape.

  • Raisin
  • n.

    A grape, or a bunch of grapes.

  • Uveous
  • a.

    Resembling a grape.

  • Musk
  • n.

    A plant of the genus Muscari; grape hyacinth.

  • Grapy
  • a.

    Composed of, or resembling, grapes.

  • Grape
  • n.

    A well-known edible berry growing in pendent clusters or bunches on the grapevine. The berries are smooth-skinned, have a juicy pulp, and are cultivated in great quantities for table use and for making wine and raisins.

  • Pomelo
  • n.

    A variety of shaddock, called also grape fruit.

  • Grapestone
  • n.

    A seed of the grape.

  • Plum
  • n.

    A grape dried in the sun; a raisin.