• metapath2vec

  • Referenced in 10 articles [sw37749]
  • heterogeneous network mining tasks, such as node classification, clustering, and similarity search, but also discern...
  • HIN2Vec

  • Referenced in 6 articles [sw37750]
  • them as features for multi-label node classification and link prediction applications on those networks ... micro$-$f_1$ in multi-label node classification...
  • RolX

  • Referenced in 8 articles [sw32343]
  • making, searching for similar nodes, and node classification. This paper addresses the question: Given ... automatically discover roles for nodes? We propose RolX (Role eXtraction), a scalable (linear...
  • DropEdge

  • Referenced in 3 articles [sw37753]
  • Towards Deep Graph Convolutional Networks on Node Classification. Over-fitting and over-smoothing ... deep Graph Convolutional Networks (GCNs) for node classification. In particular, over-fitting weakens the generalization...
  • DynGEM

  • Referenced in 4 articles [sw40461]
  • graph visualization, link prediction and node classification. Existing methods focus on computing the embedding...
  • node2vec

  • Referenced in 79 articles [sw27202]
  • define a flexible notion of a node’s network neighborhood and design a biased random ... techniques on multi-label classification and link prediction in several real-world networks from diverse...
  • nodeHarvest

  • Referenced in 2 articles [sw33154]
  • nodeHarvest: Node Harvest for Regression and Classification. Node harvest is a simple interpretable tree-like ... high-dimensional regression and classification. A few nodes are selected from an initially large ensemble...
  • ktrain

  • Referenced in 2 articles [sw33372]
  • image classification), and graph data (e.g., node classification, link prediction), ktrain presents a simple unified...
  • NetKit

  • Referenced in 26 articles [sw22730]
  • present NetKit, a modular toolkit for classification in net- worked data, and a case-study ... learning research. NetKit is based on a node-centric framework in which classifiers comprise...
  • CogDL

  • Referenced in 2 articles [sw37740]
  • tasks in the graph domain, including node classification, link prediction, graph classification, and other graph ... Most of the graph embedding methods learn node-level or graph-level representations...
  • Eigen-GNN

  • Referenced in 2 articles [sw38084]
  • Eigen-GNN for tasks including node classification, link prediction, and graph isomorphism tests...
  • SINE

  • Referenced in 1 article [sw32344]
  • baselines in various tasks, including node classification, node clustering, and link prediction, under settings with...
  • HEPTHools

  • Referenced in 3 articles [sw30615]
  • each other via field redefinitions of the nodes. We extend this to non-valise adinkras ... Python code, providing a complete eigenvalue classification of “node-lifting” for all 36,864 valise...
  • Sub2vec

  • Referenced in 1 article [sw41562]
  • learning algorithms for mining tasks like node classification and edge prediction. However, most ... work focuses on distributed representations of nodes that are inherently ill-suited to tasks such ... mining tasks, like community detection and graph classification. We show that Sub2Vec gets significant gains...
  • struc2vec

  • Referenced in 13 articles [sw36495]
  • state-of-the-art techniques for learning node representations fail in capturing stronger notions ... experiments indicate that struc2vec improves performance on classification tasks that depend more on structural identity...
  • GripNet

  • Referenced in 1 article [sw39161]
  • show its superiority in link prediction, node classification, and data integration...
  • graph2vec

  • Referenced in 10 articles [sw32340]
  • nodes and subgraphs. However, many graph analytics tasks such as graph classification and clustering require...
  • RANKS

  • Referenced in 1 article [sw39968]
  • RANKS: a flexible tool for node label ranking and classification in biological networks. Summary:RANKS ... bioinformatics task formalizable as ranking of nodes with respect to a property given...
  • Cheops

  • Referenced in 1 article [sw29858]
  • tend to break down. Hierarchies above 5000 nodes usually require special modifications such as clustering ... Decimal Classification system, which can contain between a million and a billion nodes. The Cheops ... deep classification hierarchy, which if fully populated would contain over 19 million nodes...
  • TM-DRD

  • Referenced in 0 articles [sw26073]
  • consider the valid product review sets and classification probability of feature weights. In this research ... review information network with the feature nodes. The classification method of graph is used...