• CGAL

  • Referenced in 367 articles [sw00118]
  • objects and predicates are regrouped in CGAL Kernels. Finally, the Support Library offers geometric object ... libraries Qt, Geomview, and the Boost Graph Library...
  • graph2vec

  • Referenced in 6 articles [sw32340]
  • naturally unequipped to learn such representations, graph kernels remain as the most effective ... obtaining them. However, these graph kernels use handcrafted features (e.g., shortest paths, graphlets ... data-driven distributed representations of arbitrary sized graphs. graph2vec’s embeddings are learnt ... competitive with state-of-the-art graph kernels...
  • subgraph2vec

  • Referenced in 4 articles [sw36496]
  • recent advancements in Deep Learning and Graph Kernels. These latent representations encode semantic substructure dependencies ... statistical models for tasks such as graph classification, clustering, link prediction and community detection. subgraph2vec ... deep learning variant of Weisfeiler-Lehman graph kernel. Our experiments on several benchmark and large ... significant improvements in accuracies over existing graph kernels on both supervised and unsupervised learning tasks...
  • GPUVerify

  • Referenced in 10 articles [sw11260]
  • semantics for GPU kernels represented by arbitrary reducible control flow graphs and compare this semantics ... method that allows GPU kernels with arbitrary reducible control flow graphs to be verified ... open source and commercial GPU kernels. Among these kernels, 42 exhibit unstructured control flow which...
  • NetLSD

  • Referenced in 4 articles [sw32341]
  • comparisons still rely on direct approaches, graph kernels, or representation-based methods, which ... that allows for straightforward comparisons of large graphs. NetLSD extracts a compact signature that inherits ... heat or wave kernel; thus, it hears the shape of a graph. Our evaluation...
  • kLog

  • Referenced in 4 articles [sw10403]
  • programming, and deductive databases. Access by the kernel to the rich representation is mediated ... relational representation is first transformed into a graph -- in particular, a grounded ... entity/relationship diagram. Subsequently, a choice of graph kernel defines the feature space. kLog supports mixed...
  • PyOP2

  • Referenced in 14 articles [sw14924]
  • parallel executions of computational kernels on unstructured meshes or graphs...
  • graphkernels

  • Referenced in 2 articles [sw27018]
  • package graphkernels: Graph Kernels. A fast C++ implementation for computing various graph kernels including ... baselines), and (4) the Weisfeiler-Lehman graph kernel (state...
  • GraKeL

  • Referenced in 2 articles [sw27017]
  • GraKeL: A Graph Kernel Library in Python. The problem of accurately measuring the similarity between ... applications in a variety of disciplines. Graph kernels have recently emerged as a promising approach ... many kernels, each focusing on different structural aspects of graphs. Here, we present ... GraKeL, a library that unifies several graph kernels into a common framework. The library...
  • kProbLog

  • Referenced in 1 article [sw18492]
  • kProbLog as a language for learning with kernels. kProbLog allows to elegantly specify systems ... encodings of state-of-the-art graph kernels such as Weisfeiler-Lehman graph kernels, propagation ... kernels and an instance of Graph Invariant ... Kernels (GIKs), a recent framework for graph kernels with continuous attributes. The number of feature...
  • InfoGraph

  • Referenced in 2 articles [sw37754]
  • community analysis in social networks. Traditional graph kernel based methods are simple, yet effective...
  • iScore

  • Referenced in 1 article [sw33181]
  • iScore: A novel graph kernel-based function for scoring protein-protein docking models. Results: Here ... terms with a score obtained using a graph representation of the protein–protein interfaces ... represents the first successful demonstration of graph kernels to protein interfaces for effective discrimination...
  • SyncSpecCnn

  • Referenced in 5 articles [sw26163]
  • with images that are 2D grids, shape graphs are irregular and non-isomorphic data structures ... sharing by parameterizing kernels in the spectral domain spanned by graph laplacian eigenbases. Under this ... different graphs. Towards these goals, we introduce a spectral parameterization of dilated convolutional kernels...
  • VIKAASA

  • Referenced in 2 articles [sw08393]
  • Application Capable of Computing and Graphing Viability Kernels for Simple Viability Problems. This manual introduces ... graphing capabilities of those packages to approximate, visualise and test viability kernels for viability problems...
  • BBMCW

  • Referenced in 4 articles [sw21469]
  • their scale. One such example is correspondence graphs derived from data association problems ... algorithm is based on the bit-parallel kernel used by the BBMC family of published ... BBMC bit-parallel kernel in large sparse graphs. Moreover, BBMCW also improves on bound computation...
  • Edge

  • Referenced in 1 article [sw30261]
  • Edge: an extensible graph editor. EDGE is an editor kernel ... direct and visual manipulation of graphs. The kernel can be adapted quickly to diverse applications ... abstraction: how can users deal with large graphs containing hundreds of nodes and edges ... kernel be structured to be adaptable to various applications? EDGE uses a special graph representation...
  • KeLP

  • Referenced in 3 articles [sw26682]
  • strings, trees or graphs and their combination with standard vectorial kernels. Additionally, it provides several...
  • TUDataset

  • Referenced in 1 article [sw37862]
  • address this, we introduce the TUDataset for graph classification and regression. The collection consists ... provide Python-based data loaders, kernel and graph neural network baseline implementations, and evaluation tools...
  • COCONUT

  • Referenced in 38 articles [sw04760]
  • global optimization problems with an open-source kernel, which can be expanded by commercial ... internal representation of various matrix classes. The graphs are implemented using the VGTL (Vienna Graph...