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Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Pygat ⭐ 1,684

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Graph_transformer_networks ⭐ 694

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Graphwaveletneuralnetwork ⭐ 501

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Relational Gcn ⭐ 484

Keras-based implementation of Relational Graph Convolutional Networks

A language for computing on sparse systems

Pggraphblas ⭐ 275

High Performance Graph Processing with Postgres and GraphBLAS

Pygraphblas ⭐ 269

GraphBLAS for Python

Kokkos Kernels ⭐ 259

Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

Minisam ⭐ 230

A general and flexible factor graph non-linear least square optimization framework

Finch.jl ⭐ 102

Sparse tensors in Julia and more! Datastructure-driven array programing language.

Matlab Bgl ⭐ 99

A graph library for Matlab based on the boost graph library

Hornet data structure for sparse dynamic graphs and matrices

Structural Sparsity ⭐ 38

Structure learning for sparse graphs with latent variables

Node2vec C ⭐ 38

node2vec implementation in C++

Sparsebn ⭐ 37

Software for learning sparse Bayesian networks

Lp Sparsemap ⭐ 36

LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. (WWW'19)

Quick Cliques ⭐ 32

Quickly compute all maximal cliques of a graph

Fortran 2003 library for sparse matrix algebra

Vintage Sparse PCA for Semi-Parametric Network Analysis

A fuzzy matching & clustering library for python.

Packed Compressed Sparse Row ⭐ 20

Dynamic data structure for sparse graphs.

Implement of DiGCN, NeurIPS-2020

Source codes and datasets for EMNLP 2020 paper "Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph"

SNIG: Accelerated Large Sparse Neural Network Inference using Task Graph Parallelism

Ldpc Like Decoding Of Polar Codes ⭐ 16

see paper "Sparse Graphs for Belief Propagation Decoding of Polar Codes"

Scatteringgcn ⭐ 14

Scattering GCN: overcoming oversmoothness in graph convolutional networks

An algorithm for classification from a graph-sparse support

Pgrserver ⭐ 14

Routing service that uses pgRouting topologies and is loaded to a JGraphT graph for fast searches even with very dense networks such as OpenStreetMap (OSM) dataset.

Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)

Sparsewl ⭐ 13

Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"

Implementation for sGLMM (Sparse graph-structured linear mixed model)

GLAD: Learning Sparse Graph Recovery

Pytorchsparsegat ⭐ 11

Modify pyGAT (https://github.com/Diego999/pyGAT) to use PyTorch sparse operators for implementation of SpGraphAttentionLayer

Fast Graphlet Transform

Wide And Deep ⭐ 11

Coinblas ⭐ 11

Bitcoin blockchain graph analysis with the GraphBLAS.

Graph bundling algorithm

Deepstruct ⭐ 10

Sparse Neural Network Tools

Python-wrapped C implementation of the Edmonds-Karp max flow algorithm, optimized for sparse graphs.

Maximum clique computation over large sparse graphs

Mds2020 Linear Algebraic Graph Tools ⭐ 8

"Linear Algebraic Tools for Graph Computation," Minisymposium 142 from the 2020 SIAM Conference on Math of Data Science.

Parallel k-core Decomposition on Multicore Platforms

Salient Region Detection Tip17 ⭐ 6

Matlab implementation of the paper "Salient Region Detection using Diffusion Process on a 2-Layer Sparse Graph"

Graph Convolutional Networks in JAX

First-order Approximation of Graph Attention Networks.

Hierarchical Pooling ⭐ 5

Implemenation of the paper "Towards Sparse Hierarchical Graph Classifier" tested on Enzymes and Proteins datasets using Python 3.6 and Tensorflow 2.0.

Ngraph.serialization ⭐ 5

Graph serialization

Repository to run the Fast Graph Learning for Smooth and Sparse Spectral Representation (FGL-3SR) algorithm.

Transparse ⭐ 5

Knowledge Graph Completion with Adaptive Sparse Transfer Matrix

Sparse Matrix Vector Multiplication ⭐ 5

SpMV using CUDA

VieM -- Vienna Mapping and Sparse Quadratic Assignment

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