• node2vec

  • Referenced in 79 articles [sw27202]
  • significant progress in automating prediction by learning the features themselves. However, present feature learning approaches ... techniques on multi-label classification and link prediction in several real-world networks from diverse...
  • Alchemy

  • Referenced in 11 articles [sw16040]
  • applications, including: Collective classification; Link prediction; Entity resolution; Social network modeling; Information extraction...
  • HIN2Vec

  • Referenced in 6 articles [sw37750]
  • HIN2Vec carries out multiple prediction training tasks jointly based on a target set of relationships ... multi-label node classification and link prediction applications on those networks. Empirical results show that ... link prediction...
  • LPmade

  • Referenced in 3 articles [sw08065]
  • LPmade: link prediction made easy LPmade is a complete cross-platform software solution for multi ... core link prediction and related tasks and analysis. Its first principal contribution is a scalable ... most commonly employed unsupervised link prediction methods. Link prediction in longitudinal data requires a sophisticated ... make architecture that completely automates link prediction, prediction evaluation, and network analysis. Finally, LPmade streamlines...
  • DynGEM

  • Referenced in 4 articles [sw40461]
  • wide applications such as graph visualization, link prediction and node classification. Existing methods focus ... tasks including graph visualization, graph reconstruction, link prediction and anomaly detection (on both synthetic...
  • AmpliGraph

  • Referenced in 5 articles [sw30610]
  • source library based on TensorFlow that predicts links between concepts in a knowledge graph. AmpliGraph...
  • BioKEEN

  • Referenced in 3 articles [sw34085]
  • domains due to their ability to predict links and create dense representations for graphs’ nodes ... novel biological pathway mapping resource to predict links that represent pathway crosstalks and hierarchies...
  • Biomine

  • Referenced in 2 articles [sw28409]
  • Biomine: predicting links between biological entities using network models of heterogeneous databases. BACKGROUND: Biological databases ... Biomine and evaluate its performance in link prediction, where the goal is to predict pairs ... gene prioritization tasks as instances of link prediction. The predictions are based on a proximity ... edge types are weighted to optimize link prediction accuracy. We also propose a novel method...
  • subgraph2vec

  • Referenced in 4 articles [sw36496]
  • tasks such as graph classification, clustering, link prediction and community detection. subgraph2vec leverages on local...
  • dyngraph2vec

  • Referenced in 3 articles [sw40462]
  • evolution in dynamic graphs and can predict unseen links with higher precision. Our model, dyngraph2vec ... motivate the need of capturing dynamics for prediction on a toy data set created using ... embedding and yield better performance in link prediction...
  • RotatE

  • Referenced in 3 articles [sw37755]
  • relations in knowledge graphs for predicting missing links. The success of such a task heavily ... state-of-the-art models for link prediction...
  • Survey

  • Referenced in 52 articles [sw08163]
  • sample tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum ... raking. Two-phase subsampling designs. Graphics. Predictive margins by direct standardization. PPS sampling without replacement...
  • GeneSrF

  • Referenced in 72 articles [sw08254]
  • redundant sets of genes that have good predictive performance. The second is a more heuristic ... package from CRAN or from this link. For further details see the help...
  • LinkBoost

  • Referenced in 1 article [sw29981]
  • Boosting Framework for Community-Level Network Link Prediction. Link prediction is a challenging task ... skew ness of network data. Typical link prediction methods can be categorized as either local ... paper presents a community (cluster) level link prediction method without the need to explicitly identify ... loss function. As a result, any link prediction method designed to optimize the loss function...
  • ktrain

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

  • Referenced in 2 articles [sw34288]
  • typically solved by means of link prediction methods that analyze gene expression data. However...
  • Eigen-GNN

  • Referenced in 2 articles [sw38084]
  • tasks including node classification, link prediction, and graph isomorphism tests...
  • LibKGE

  • Referenced in 2 articles [sw39398]
  • knowledge graph embedding models for link prediction. The key goals of LibKGE are to enable...
  • CogDL

  • Referenced in 2 articles [sw37740]
  • graph domain, including node classification, link prediction, graph classification, and other graph tasks. For each...
  • RankMerging

  • Referenced in 1 article [sw29980]
  • supervised learning-to-rank framework to predict links in large social networks. Uncovering unknown ... task because of their sparsity and because links may represent different types of relationships, characterized ... area of relevance: the prediction of an adjustable number of links on large networks...