• MotifMiner

  • Referenced in 7 articles [sw35523]
  • similar underlying techniques and have embedded domain knowledge. While doing so improves performance...
  • OpenKE

  • Referenced in 2 articles [sw30611]
  • OpenKE: An Open Toolkit for Knowledge Embedding. We release an open toolkit for knowledge embedding ... support quick model validation and large-scale knowledge representation learning. Meanwhile, OpenKE maintains sufficient modularity ... Besides the toolkit, the embeddings of some existing large-scale knowledge graphs pre-trained ... answering. The toolkit, documentation, and pre-trained embeddings are all released on http://openke.thunlp.org...
  • TransG

  • Referenced in 2 articles [sw34443]
  • TransG : A Generative Mixture Model for Knowledge Graph Embedding. Recently, knowledge graph embedding, which projects ... vectors for embedding a fact triple. To the best of our knowledge, this ... first generative model for knowledge graph embedding, which is able to deal with multiple relation...
  • BioKEEN

  • Referenced in 1 article [sw34085]
  • learning and evaluating biological knowledge graph embeddings. Knowledge graph embeddings (KGEs) have received significant attention ... learning. Therefore, we developed BioKEEN (Biological KnowlEdge EmbeddiNgs) and PyKEEN (Python KnowlEdge EmbeddiNgs) to facilitate...
  • Pykg2vec

  • Referenced in 2 articles [sw30609]
  • Pykg2vec: A Python Library for Knowledge Graph Embedding. Pykg2vec is an open-source Python library ... representations of the entities and relations in knowledge graphs. Pykg2vec’s flexible and modular software ... implements 16 state-of-the-art knowledge graph embedding algorithms, and is designed to easily ... educational platform to accelerate research in knowledge graph representation learning. Pykg2vec is built...
  • ProjE

  • Referenced in 2 articles [sw34444]
  • ProjE: Embedding Projection for Knowledge Graph Completion. With the large volume of new information created ... knowledge graph completion methods have been developed using low-dimensional graph embeddings. Although researchers continue ... knowledge graph by learning joint embeddings of the knowledge graph’s entities and edges...
  • DLV-EX

  • Referenced in 14 articles [sw04642]
  • sources of knowledge, or set unification. This work introduces a framework embedding value invention...
  • DGL-KE

  • Referenced in 1 article [sw34088]
  • Training Knowledge Graph Embeddings at Scale. Knowledge graphs (KGs) are data structures that store information ... machine learning tasks is to compute knowledge graph embeddings. DGL-KE is a high performance ... scalable package for learning large-scale knowledge graph embeddings. The package is implemented...
  • GraphVite

  • Referenced in 1 article [sw34087]
  • evaluation pipelines for 3 applications: node embedding, knowledge graph embedding and graph & high-dimensional data...
  • KOMET

  • Referenced in 4 articles [sw21352]
  • software layer between an application and various knowledge sources which need to be accessed ... extensible type system and the embedding of external knowledge sources as constraint domains, our mediation...
  • TransT

  • Referenced in 2 articles [sw34445]
  • TransT: Type-Based Multiple Embedding Representations for Knowledge Graph Completion. Knowledge graph completion with representation ... relation triples from the existing knowledge graphs by embedding entities and relations into a vector ... they neglect semantic information contained in most knowledge graphs and the prior knowledge indicated ... based prior distributions, our approach generates multiple embedding representations of each entity in different contexts...
  • AmpliGraph

  • Referenced in 2 articles [sw30610]
  • with missing statements. Generate stand-alone knowledge graph embeddings. Develop and evaluate a new relational...
  • PyKEEN

  • Referenced in 1 article [sw34084]
  • Evaluating Knowledge Graph Emebddings. Recently, knowledge graph embeddings (KGEs) received significant attention, and several software ... PyKEEN 1.0 enables users to compose knowledge graph embedding models (KGEMs) based on a wide...
  • BioBrowser

  • Referenced in 1 article [sw00079]
  • research project the paper addresses the embedding of knowledge about the function of different parts/structures...
  • MicroEliece

  • Referenced in 9 articles [sw09835]
  • efficient implementation of the McEliece scheme on embedded systems what was -- up to date -- considered ... large keys. To the best of our knowledge, this is the first time that...
  • CCSP

  • Referenced in 14 articles [sw00111]
  • results are foregone. Unfortunately, this complete knowledge is not generally atainable in a distributed system ... allows for the execution and evaluation of embedded assertions within the CSP program...
  • See5

  • Referenced in 8 articles [sw12178]
  • does not presume any special knowledge of Statistics or Machine Learning (although these ... that classifiers constructed by See5/C5.0 can be embedded in your organization’s own systems...
  • SWordInstaller

  • Referenced in 1 article [sw24389]
  • installed (or without any knowledge of R). The functionality of embedding the scripts is somewhat...
  • HiPER

  • Referenced in 1 article [sw01201]
  • knowledge based systems technology to solve complex and real-time problems in embedded system environments ... technique for the complete compilation of knowledge bases directly into procedural code. The technique...
  • ReactomeFIViz

  • Referenced in 1 article [sw25625]
  • unravel patterns embedded in seemingly scattered large data sets and assist knowledge discovery related...