Search Results for "graph algorithms" - Page 3

Showing 139 open source projects for "graph algorithms"

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  • 1
    CapsGNN

    CapsGNN

    A PyTorch implementation of "Capsule Graph Neural Network"

    ...Inspired by the Capsule Neural Network (CapsNet), we propose the Capsule Graph Neural Network (CapsGNN), which adopts the concept of capsules to address the weakness in existing GNN-based graph embeddings algorithms. By extracting node features in the form of capsules, routing mechanism can be utilized to capture important information at the graph level. As a result, our model generates multiple embeddings for each graph to capture graph properties from different aspects.
    Downloads: 0 This Week
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  • 2
    Gato (Graph Animation Toolbox): Animate graph algorithms for example for computing shortest paths, minimal spanning trees, maximum flows or maximal cardinality or weight matchings. Create your own animations using the Animated Data Structures (ADS).
    Downloads: 0 This Week
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  • 3
    Implicit Graph Search Library
    Java generic API for search algorithms on graphs implicitly given by tree node expansion operator
    Downloads: 0 This Week
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  • 4
    StellarGraph

    StellarGraph

    Machine Learning on Graphs

    StellarGraph is a Python library for machine learning on graphs and networks. The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. It can solve many machine learning tasks. Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. ...
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  • 5
    Delta ML

    Delta ML

    Deep learning based natural language and speech processing platform

    ...DELTA aims to provide easy and fast experiences for using, deploying, and developing natural language processing and speech models for both academia and industry use cases. DELTA is mainly implemented using TensorFlow and Python 3. DELTA has been used for developing several state-of-the-art algorithms for publications and delivering real production to serve millions of users. It helps you to train, develop, and deploy NLP and/or speech models. Use configuration files to easily tune parameters and network structures. What you see in training is what you get in serving: all data processing and features extraction are integrated into a model graph. ...
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  • 6
    java-string-similarity

    java-string-similarity

    Implementation of various string similarity and distance algorithms

    Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity. A library implementing different string similarity and distance measures. A dozen of algorithms (including Levenshtein edit distance and sibblings, Jaro-Winkler, Longest Common Subsequence, cosine similarity etc.) are currently implemented.
    Downloads: 0 This Week
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  • 7
    VivaGraph

    VivaGraph

    Graph drawing library for JavaScript

    ...Its layout algorithms help position nodes in aesthetically pleasing arrangements using force-directed simulations that adjust dynamically as the graph evolves. VivaGraphJS is modular, so you can extend or customize layouts, rendering, and interaction logic to fit specialized applications such as social network analysis, dependency mapping, or knowledge graphs.
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  • 8
    Deep Learning Drizzle

    Deep Learning Drizzle

    Drench yourself in Deep Learning, Reinforcement Learning

    Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures! Optimization courses which form the foundation for ML, DL, RL. Computer Vision courses which are DL & ML heavy. Speech recognition courses which are DL heavy. Structured Courses on Geometric, Graph Neural Networks. Section on Autonomous Vehicles. Section on Computer Graphics with ML/DL focus.
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  • 9
    TSP Solver and Generator

    TSP Solver and Generator

    Generate and solve Travelling Salesman Problem tasks

    TSPSG is intended to generate and solve Travelling Salesman Problem (TSP) tasks. It uses Branch and Bound method for solving. An input is a number of cities and a matrix of city-to-city travel prices. The matrix can be populated with random values in a given range (useful for generating tasks). The result is an optimal route, its price, step-by-step matrices of solving and solving graph. The task can be saved in internal binary format and opened later. The result can be printed or saved as...
    Downloads: 8 This Week
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  • 10
    Easy Machine Learning

    Easy Machine Learning

    Easy Machine Learning is a general-purpose dataflow-based system

    ...Our platform Easy Machine Learning presents a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real-world tasks. In the system, a learning task is formulated as a directed acyclic graph (DAG) in which each node represents an operation (e.g. a machine learning algorithm), and each edge represents the flow of the data from one node to its descendants.
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  • 11

    popt4jlib

    Parallel Optimization Library for Java

    popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known network flow and other graph algorithms. A fast parallel implementation of the network simplex method, and some full-fledged parallel/distributed MIP solvers will be added in the next version. ...
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  • 12
    Prolog+CG is a Java implementation of Prolog with extensions implementing a subset of the Conceptual Graph (CG) theory of John Sowa. CGs are first-class datatypes on a par with terms. Object oriented extensions are also included.
    Downloads: 0 This Week
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  • 13
    Graph Portal

    Graph Portal

    Software to build web portals using concepts of Graph Theory

    Graph Portal allows to organize many types of data so that you can get the information you want in the easiest way possible. There are many use cases for this software, including: building a web portal, creating mind map, wiki, studying graph theory concepts and algorithms,content management etc. The application has built-in Lucene search, custom query, file attachment to nodes etc.
    Downloads: 0 This Week
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  • 14
    Your basic graph

    Your basic graph

    Graph algorithms and data structures

    ...The tool is part of a larger library of generic graph algorithms.
    Downloads: 0 This Week
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  • 15

    JavaGimmicks

    Utility classes, APIs and tools for Java

    A set of helper and utility classes, APIs and tools for the Java Programming Language. For more details - pleas visit the project homepage.
    Downloads: 0 This Week
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  • 16
    vizceral

    vizceral

    WebGL visualization for displaying animated traffic graphs

    vizceral is a component for displaying traffic data on a webgl canvas. If a graph of nodes and edges with data about traffic volume is provided, it will render a traffic graph animating the connection volume between nodes. This component can take multiple traffic graphs and will generate a 'global' graph showing all incoming traffic into each of the 'regions', with support for cross-region traffic. There are three levels of information, global, regional, and service-level, with clicking or...
    Downloads: 0 This Week
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  • 17
    Algorithms in Python

    Algorithms in Python

    Data Structures and Algorithms in Python

    Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems.
    Downloads: 0 This Week
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  • 18
    Satsuma .NET Graph Library

    Satsuma .NET Graph Library

    a delicious .NET graph library

    Satsuma is a graph library for .NET, written in C#. Satsuma is an easy-to-use and flexible library, which implements all the necessary graph structures, and the fastest possible graph algorithms. DOCUMENTATION: http://satsumagraph.sourceforge.net/ Satsuma is not a charting library. 'Graph' is used in the mathematical sense here (e.g. nodes connected with arcs).
    Downloads: 0 This Week
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  • 19

    ingap-sf

    a genome scaffolder

    inGAP-sf is an effective scaffolder to generate high-quality and continuous scaffolds. inGAP-sf achieves this by using a new strategy based on the combination of Dlink and Plink graphs, in which Dlink is used to increase graph connectivity and to decrease graph complexity and Plink is employed to supervise the traversing process on the Dlink graph. Such advantage greatly facilitates the assembly of short-repeat enriched regions. Moreover, a new comprehensive decision model is developed to eliminate the noise routes accompanying with the introduced Dlink. ...
    Downloads: 1 This Week
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  • 20

    Excel file analysis toolkit

    Lays out dependencies (links) between Excel files in a visual graph

    Do you have a haystack (legacy) of Excel files that reference each other and you can't see clear anymore? This tools crawls Excel files and builds up a visual graph. It shows which files might be outdated because they reference a file which was modified more recently. The graph is dynamic, you can choose between different layout algorithms and rearrange by hand. Allows you to quickly open the file, dump the graph, dump all links within a file, highlight all the cells that reference other excel files. ...
    Downloads: 1 This Week
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  • 21
    algorithms.js

    algorithms.js

    Classic algorithms and data structures implemented in JavaScript

    Traditional Computer Science algorithms and data structures implemented in JavaScript. Algorithms such as collatzConjecture, extendedEuclidean, fastPower, fibonacci, findDivisors, fisherYates, gcd (Greatest common divisor), greatestDifference, lcm (Least common multiple), newtonSqrt, nextPermutation, powerSet, reservoirSampling, shannonEntropy, etc.
    Downloads: 0 This Week
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  • 22
    Grapho
    A educational Java software featuring a graph editor and algorithms animation to learn how the algorithms work. Algorithms: Breadth First Search (BFS), Depth First Search (DFS), Minimum Spanning Tree (Prim), Single-Source Shortest Path (Dijkstra), Maximum Flow (Edmonds-Karp).
    Downloads: 0 This Week
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  • 23
    JAGAL: Java Graph Library

    JAGAL: Java Graph Library

    Java graph library

    JAGAL provides implementations for directed graphs (weighted and unweighted) and varoius types of transition systems as well as utils for graph traversal and modification. JAGAL builds upon the Java library TOVAL (located at http://sourceforge.net/p/toval). To use JAGAL, make sure the TOVAL library is on the build path. This library uses and encloses jGraphX (https://github.com/jgraph/jgraphx). A documentation for JAGAL can be found under http://doku.telematik.uni-freiburg.de/jagal.
    Downloads: 0 This Week
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  • 24

    ISO GrAF

    Experimental Java library for reading and writing GrAF/XML files.

    The Graph Annotation Framework (GrAF) models linguistic annotations using a data model based on Graph theory and algorithms. The GrAF standard is a work product of ISO TC37SC4 Working Group 1. This Java library is NOT part of the GrAF standard and standoff annotation files produced by the library may not be GrAF compliant.
    Downloads: 1 This Week
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  • 25

    Graffy

    Graph Library based on C++ making heavy use of templates and STL

    Graffy is a open source Graph Library written completely in C++ in self contained fashion. Features: 1. Reading and Writing from multiple graph formats. 2. Basic Graph Traversal, Connected Components and Paths 3. Centrality Measures 4. Community Detection Algorithms both Global and Local and measures to evaluate community detection algorithms 5. Artificial Graph Generators
    Downloads: 0 This Week
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