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graph-processing
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High-Performance Graph Primitives on GPUs
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Nov 15, 2021 - Cuda
A computation-centric distributed graph processing system.
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Aug 15, 2021 - C++
Out-of-core graph processing on a single machine.
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May 7, 2018 - C++
GraphMat graph analytics framework
graph
graphs
pagerank
distributed
edge
collaborative-filtering
graph-processing
shortest-paths
topological-sort
breadth-first-search
latent-dirichlet-allocation
triangle-counting
delta-stepping
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May 6, 2017 - C++
Node-based image processing with GEGL and Flowhub
c
osx
protocol
image-processing
edges
graph-processing
mac-osx
flowhub
fbp-runtime
gegl
flowhub-user
register-runtime
imgflo-runtime
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Apr 25, 2018 - C
pf-un
commented
Mar 22, 2021
Hi everyone.
I'm wondering about accessing the property of vertices with out-degree equal to 0.
I understand these are somehow filtered out of certain computations since they generate no updates, but they should still receive updates so I'd like to access their property after some number of supersteps.
I would also appreciate an explanation on the various MEM_ID pointers.
Incremental view maintenance for openCypher graph queries.
query
research
graph
pattern-matching
graphs
incremental
graph-processing
query-engine
cypher
ingraph
cypher-query-language
opencypher
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Mar 18, 2019 - Scala
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
awesome
graph
graphs
graph-processing
awesome-list
datasets
graph-databases
graph-analytics
awesome-lists
streaming-graph-processing
graph-datastructures
evolving-graphs
dynamic-graphs
streaming-graph-data
temporal-graphs
dynamic-graph-processing
streaming-graphs
temporal-graph-processing
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Feb 2, 2021
G3: A Programmable GNN Training System on GPU
deep-neural-networks
gpu
graph-processing
gpu-acceleration
gpu-computing
gunrock
gnn
graph-neural-network
gnn-architectures
graph-systems
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Aug 29, 2020 - Cuda
Transforming Graphs for Efficient Irregular Graph Processing on GPUs
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Dec 26, 2019 - Cuda
An efficient concurrent graph processing system
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Oct 27, 2021 - C++
A distributed in-memory key-value storage for billions of small objects.
computer-science
memcached
big-data
ram
storage
social-network
distributed
in-memory
graph-processing
low-latency
in-memory-storage
billions
key-value-database
department
dxram-instances
key-value-store
storage-nodes
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Aug 23, 2019 - Java
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Sep 26, 2019 - Java
Personalized PageRank (PPR) on GraphLab PowerGraph
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Jan 3, 2017 - C++
twitto_be is a real-time tweets analytics dashboard
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Aug 8, 2021 - JavaScript
Survey of Primitives and Graph Processing on GPUs (Until 2016) - by Yulin Che (https://github.com/CheYulin)
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Mar 19, 2017
VGL is a high-performance graph processing framework, designed for modern NEC SX-Aurora TSUBASA vector architecture. VGL significantly outperforms many state-of the art graph-processing frameworks for modern multicore CPUs and NVIDIA GPUs, such as Gunrock, CuSHA, Ligra, Galois, GAPBS.
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Dec 6, 2021 - C++
Cybersecurity: Graph Processing using Gunrock.
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Jun 29, 2017 - Shell
A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.
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Mar 20, 2017 - Cuda
A parallel packed CSR data structure for large-scale dynamic graphs
graph
graphs
data-structures
graph-processing
csr
graph-databases
graph-data
streaming-graph-processing
graph-datastructures
evolving-graphs
dynamic-graphs
streaming-graph-data
stream-graphs
pcsr
packed-memory-array
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Dec 7, 2020 - C++
Graph specification processor language in PureScript
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Mar 6, 2021 - PureScript
DGraph is a system for directed graph processing with taking advantage of the strongly connected component structure. On this system, most graph partitions are able to reach convergence in order and need to be loaded into the main memory for exactly once, getting much lower data access cost and faster convergence.
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Oct 13, 2020 - C++
Spatial Graph Extractor. Library and scripts to study graphs extracted from binary images, or to generate graphs and analyze them completely in-silico. Used at least in biopolymers simulations and vascular networks.
python
generator
topology
graph
image-processing
graph-processing
thin
segmentation
vtk
itk
hacktoberfest
dgtal
skeletonization
binarization
thinning
distance-map
spatial-graph
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Jul 7, 2021 - C++
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Jul 19, 2019 - C++
OpenGraph is an open-source graph processing benchmarking suite written in pure C/OpenMP.
open-source
openmp
pagerank
dfs
graph-processing
opengraph
spmv
breadth-first-search
depth-first-search
betweenness-centrality
triangle-counting
bellmanford
graph-framework
connected-components
bfs-algorithm
delta-stepping
graph-algorithm
sssp
opengraph-benchmark-suite
sparse-matrix-vector-multiplication
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Oct 25, 2021 - C
A pattern-based algorithmic auto-tuner for graph processing on GPUs
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Nov 20, 2018 - Cuda
a distributed graph processing system based on key-value store
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Aug 27, 2017 - C++
Memory allocator and management for billions of very small objects
big-data
memory-allocator
graph-processing
memory-management
in-memory-storage
key-value-database
key-value-store
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May 15, 2019 - Java
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Once #157, it'd be great to add support for batch importing from a CSV file. CSV would act as a decent lowest-common-denominator format. In the future, other formats could be added as well (e.g. RDF XML) based off demand.