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  2. Cypher (query language) - Wikipedia

    en.wikipedia.org/wiki/Cypher_(query_language)

    Cypher was originally intended to be used with the graph database Neo4j, but was opened up through the openCypher project in October 2015. [ 3 ] The language was designed with the power and capability of SQL (standard query language for the relational database model ) in mind, but Cypher was based on the components and needs of a database built ...

  3. Knowledge graph - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph

    The term is also used in the context of note-taking software applications that allow a user to build a personal knowledge graph. [21] The popularization of knowledge graphs and their accompanying methods have led to the development of graph databases such as Neo4j, [22] GraphDB [23] and AgensGraph. [24]

  4. Knowledge graph embedding - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph_embedding

    In representation learning, knowledge graph embedding (KGE), also called knowledge representation learning (KRL), or multi-relation learning, [1] is a machine learning task of learning a low-dimensional representation of a knowledge graph's entities and relations while preserving their semantic meaning.

  5. Neo4j - Wikipedia

    en.wikipedia.org/wiki/Neo4j

    Neo4j is a graph database management system (GDBMS) developed by Neo4j Inc. The data elements Neo4j stores are nodes , edges connecting them, and attributes of nodes and edges.

  6. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Graph databases are commonly referred to as a NoSQL database. Graph databases are similar to 1970s network model databases in that both represent general graphs, but network-model databases operate at a lower level of abstraction [3] and lack easy traversal over a chain of edges. [4] The underlying storage mechanism of graph databases can vary.

  7. List of information graphics software - Wikipedia

    en.wikipedia.org/wiki/List_of_information...

    A visual programming data-flow software suite with widgets for statistical data analysis, interactive data visualization, data mining, and machine learning. Origin: GUI, COM, C/ C++ and scripting: proprietary: No 1992: June 22, 2017 / 2017 SR2: Windows: Multi-layer 2D, 3D and statistical graphs for science and engineering. Built-in digitizing tool.

  8. TigerGraph - Wikipedia

    en.wikipedia.org/wiki/TigerGraph

    The analytics uses C++ based software and a parallel processing engine to process algorithms and queries. [1] It has its own graph query language that is similar to SQL. [1] [2] [6]: 9–10 TigerGraph also provides a software development kit for creating graphs and visual representations. [1] [7] As of Nov 2023, TigerGraph version is up to ...

  9. Weka (software) - Wikipedia

    en.wikipedia.org/wiki/Weka_(software)

    Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato , New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".