vishalbelsare Goto Github PK

grape

GRAph Parallel Environment

graph

Joint work for regression methods on graph

graph-1

Graph is a semantic database that is used to create data-driven applications.

graph-admm

A simple framework to perform ADMM on graphs of low-degree.

graph-cli

Flexible command line tool to create graphs from CSV data

graph-cut

Improved version of Stoer-Wagner algorithm for Graph mincut; Graph k-Cut, Graph k-connected component decomposition

graph-kernel-manifold-learning

Assignment for the course of Artificial Intelligence: Knowledge Representation and Planning

graph-kernels

Graph kernels

graph-learn

An Industrial Graph Neural Network Framework

graph-pde

Using graph network to solve PDEs

graph-regression

A collection of methods for regressing covariates out of graph-valued data.

graph-regularization

MATLAB scripts for computing “Graphs Regularization Exploiting Data Trajectories On Temporal Manifolds”

graph-research

Exploration of new graph structures and algorithms

graph-similarity-learning

Algorithms for learning network structure from effective resistances and other random-walk-based similarities.

graph-theory

A simple graph library

graph-tool

graph-tool - Efficient network analysis

graph-walker

Fastest random walks generator on networkx graphs

graph2vec

Theano implementation of GloVe for graphs

graphat

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure

graphblas

SuiteSparse:GraphBLAS: graph algorithms in the language of linear algebra. For production: (default) STABLE branch. Code development: (non-default) MASTER branch. For a short video intro, see https://youtu.be/Tj5y6d7FegI . The libgraphblas.so is Apache2 licensed, but the MATLAB interface in the GraphBLAS/GraphBLAS folder is now GNU GPL3, and this change is retroactive to all versions of GraphBLAS.

graphblast

High-Performance Linear Algebra-based Graph Primitives on GPUs

graphbrain

Language, Knowledge, Cognition

graphembedding

Python Graph Embedding Library for Knowledge graph

grapher

WebGL/Canvas Network Graphs

graphflow

Deep Learning framework in C++/CUDA that supports symbolic/automatic differentiation, dynamic computation graphs, tensor/matrix operations accelerated by GPU and implementations of various state-of-the-art graph neural networks and other Machine Learning models including Covariant Compositional Networks For Learning Graphs [Risi et al]

graphflow-1

Algorithms for Graph Flow Analysis

graphframes

graphgen-project

A Python wrapper over the GraphGen system

graphhopper-kernels

Scalable kernels for graphs with continuous attributes (Feragen et al., NIPS 2013) http://goo.gl/VxSfzZ

graphical-lasso-in-finance

Implementations of the graphical lasso method to estimation of covariance matrices in finance.