• GraRep

  • Referenced in 14 articles [sw32342]
  • work, integrates global structural information of the graph into the learning process. We also formally ... features in tasks such as clustering, classification and visualization. Empirical results demonstrate that our representation...
  • Orbiter

  • Referenced in 5 articles [sw12417]
  • graphs, codes, and objects from finite geometry. It employs the method of poset classification...
  • maptree

  • Referenced in 2 articles [sw12946]
  • data for graphing, pruning, and mapping models from hierarchical clustering, and classification and regression trees...
  • GCDkit

  • Referenced in 3 articles [sw32609]
  • ternary graphs, Harker plots, spider plots, and several dozens of classification and geotectonic discrimination diagrams...
  • Chordality

  • Referenced in 1 article [sw20560]
  • Cohen-Macaulay. Second, chordal graphs lead to a beautiful classification of square-free monomial ideals ... edge ideal of a non-trivial graph G, such that the complement...
  • HACT-Net

  • Referenced in 1 article [sw39634]
  • Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. Cancer diagnosis, prognosis ... cell organization in tissue via cell-graphs to tumor grades. Though cell organization is imperative...
  • GripNet

  • Referenced in 1 article [sw39161]
  • multiple layers. We construct multiple large-scale graphs and evaluate GripNet against competing methods ... show its superiority in link prediction, node classification, and data integration...
  • scikit-multilearn

  • Referenced in 3 articles [sw18802]
  • classification methods alongside novel framework for label space partitioning and division. It includes graph-based...
  • RAGE

  • Referenced in 3 articles [sw24031]
  • graph, and show how fast graphlet counting can be leveraged for efficient and scalable classification...
  • TM-DRD

  • Referenced in 0 articles [sw26073]
  • with the feature nodes. The classification method of graph is used to detect the deceptive...
  • SCOP2

  • Referenced in 1 article [sw16875]
  • SCOP2 classification is described in terms of a directed acyclic graph in which nodes form ... protein structure and sequence. The new classification project is expected to ensure new advances...
  • AnnexML

  • Referenced in 3 articles [sw30153]
  • have been widely used in Web-scale classification tasks such as Web page tagging ... this paper, we present a novel graph embedding method called ”AnnexML”. At the training step...
  • struc2vec

  • Referenced in 9 articles [sw36495]
  • different scales, and constructs a multilayer graph to encode structural similarities and generate structural context ... experiments indicate that struc2vec improves performance on classification tasks that depend more on structural identity...
  • Simbio

  • Referenced in 2 articles [sw09096]
  • classifications. Moreover, the correlations of variables and function elements can be described as a graph...
  • KeLP

  • Referenced in 3 articles [sw26682]
  • discrete data, such as strings, trees or graphs and their combination with standard vectorial kernels ... online and batch kernel machines for classification, regression and clustering, and a Java environment...
  • FoldingNet

  • Referenced in 3 articles [sw32562]
  • learning tasks on point clouds such as classification and segmentation. In this work, a novel ... point clouds. On the encoder side, a graph-based enhancement is enforced to promote local ... discriminative representation that achieves higher linear SVM classification accuracy than the benchmark. In addition...
  • DeepSphere

  • Referenced in 2 articles [sw29899]
  • analyse the data at multiple scales. The graph neural network model is based on ChebNet ... demonstrated on a discrimination problem: the classification of convergence maps into two cosmological model classes...
  • Jubatus

  • Referenced in 0 articles [sw36957]
  • Online Machine Learning Library: Classification, Regression, Recommendation (Nearest Neighbor Search), Graph Mining, Anomaly Detection, Clustering...
  • RAIcode

  • Referenced in 8 articles [sw34283]
  • structures and then direct the resulted undirected graph, the RAI algorithm combines the two processes ... computational complexity, run-time, structural correctness and classification accuracy over the PC, three phase dependency...
  • ProGraML

  • Referenced in 1 article [sw32379]
  • performing complex downstream tasks over these graphs. The ProGraML representation is a directed attributed multigraph ... representation, enabling whole-program or per-vertex classification tasks. ProGraML provides a general-purpose program...