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🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
data-science big-data analytics graph gremlin graph-analytics graph-data graph-computing graph-neural-networks graph-computation
A curated list of resources for graph databases and graph computing tools
GraphIt - A High-Performance Domain Specific Language for Graph Analytics
machine-learning compiler parallel-computing high-performance-computing code-generation graph-analytics domain-specific-language m graph-computing
A reading list for deep graph learning acceleration.
acceleration deep-learning graph graph-algorithms accelerator reading-list literature graph-computing graph-convolutional-networks gcn graph-neural-networks paper-list gnn
🔧 Python Random Graph Generator
python generator math script gpu mathematics python3 beerpay graph-generation graph-generator graph-computing gtgraph
A general-purpose, distributed graph random walk engine.
HugeGraph Computer - A distributed graph processing system for hugegraph (OLAP)
Intro to Julius Graph
A curated list of graph learning papers, articles, tutorials, slides and projects
GRIN is a proposed standard graph retrieval interface in GraphScope.
Labs of High Performance Computing in Tsinghua University
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.
🥇 Champion of the 11th CCF BDCI (2023): high-performance graph pattern matching on TuGraph Analytics — all cases in ~6s on LDBC Finbench sf1
java graph-computing contest-solution graph-pattern-matching geaflow tugraph-analytics ldbc-finbench
graph_data_parser for euler
c++ graph computing system for billions.
Graph computation in Clojure using spec
Graiphic Toolkits for LabVIEW provide advanced AI, GPU, and graph-oriented computing capabilities directly inside LabVIEW. Built on ONNX Runtime, they enable seamless integration of SOTA, Accelerator, and Deep Learning Toolkit for high-performance execution across CPUs, GPUs, and edge devices.
training computer-vision deep-learning cuda labview inference neural-networks high-performance-computing hardware-acceleration graph-computing tensorrt sota onnx openvino edge-ai onnxruntime onednn directml ai-orchestration accelerator-toolkit
An ultra-lightweight AI-First code workbench
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