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  2. Node graph architecture - Wikipedia

    en.wikipedia.org/wiki/Node_graph_architecture

    Node graphs in this time frame start to develop paradigms to deal with complexity in the node graph. The complexity arose as the number of nodes and links in the graph increased. One of the main ideas dealing with complexity was the concept of a group or package node which hid nodes inside of itself, only exposing the inputs and outputs of the ...

  3. Configuration model - Wikipedia

    en.wikipedia.org/wiki/Configuration_model

    In network science, the Configuration Model is a family of random graph models designed to generate networks from a given degree sequence. Unlike simpler models such as the ErdÅ‘s–Rényi model , Configuration Models preserve the degree of each vertex as a pre-defined property.

  4. Bridge (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Bridge_(graph_theory)

    A graph with 16 vertices and six bridges (highlighted in red) An undirected connected graph with no bridge edges. In graph theory, a bridge, isthmus, cut-edge, or cut arc is an edge of a graph whose deletion increases the graph's number of connected components. [1] Equivalently, an edge is a bridge if and only if it is not contained in any cycle.

  5. Graph neural network - Wikipedia

    en.wikipedia.org/wiki/Graph_neural_network

    Moreover, numerous graph-related applications are found to be closely related to the heterophily problem, e.g. graph fraud/anomaly detection, graph adversarial attacks and robustness, privacy, federated learning and point cloud segmentation, graph clustering, recommender systems, generative models, link prediction, graph classification and ...

  6. Graph Modelling Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Modelling_Language

    Graph-tool, a free Python module for manipulation and statistical analysis of graphs. NetworkX, an open source Python library for studying complex graphs. Tulip (software) is a free software in the domain of information visualisation capable of manipulating huge graphs (with more than 1.000.000 elements).

  7. Mesh networking - Wikipedia

    en.wikipedia.org/wiki/Mesh_networking

    A fully connected mesh network, where each node is connected to every other node in the network A mesh network is a local area network topology in which the infrastructure nodes (i.e. bridges, switches, and other infrastructure devices) connect directly, dynamically and non-hierarchically to as many other nodes as possible and cooperate with ...

  8. Connectivity (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Connectivity_(graph_theory)

    This graph becomes disconnected when the right-most node in the gray area on the left is removed This graph becomes disconnected when the dashed edge is removed.. In mathematics and computer science, connectivity is one of the basic concepts of graph theory: it asks for the minimum number of elements (nodes or edges) that need to be removed to separate the remaining nodes into two or more ...

  9. GraphHopper - Wikipedia

    en.wikipedia.org/wiki/GraphHopper

    GraphHopper is an open-source routing library and server written in Java and provides a routing API over HTTP. [1] It runs on the server, desktop, Android, iOS or Raspberry Pi. [2] [3] By default OpenStreetMap data for the road network and elevation data from the Shuttle Radar Topography Mission is used.

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