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Projects in Awesome Lists tagged with graph-computing

A curated list of projects in awesome lists tagged with graph-computing .

https://github.com/alibaba/graphscope

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

analytics big-data data-science graph graph-analytics graph-computation graph-computing graph-data graph-neural-networks gremlin

Last synced: 11 May 2025

https://github.com/alibaba/GraphScope

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

analytics big-data data-science graph graph-analytics graph-computation graph-computing graph-data graph-neural-networks gremlin

Last synced: 08 Apr 2025

https://github.com/tencent/plato

腾讯高性能分布式图计算框架Plato

graph-computing plato

Last synced: 15 May 2025

https://github.com/Tencent/plato

腾讯高性能分布式图计算框架Plato

graph-computing plato

Last synced: 10 Apr 2025

https://github.com/apache/incubator-hugegraph-computer

HugeGraph Computer - A distributed graph processing system for hugegraph (OLAP)

graph graph-algorithms graph-computing

Last synced: 06 Apr 2025

https://github.com/hibayesian/awesome-graph-learning-papers

A curated list of graph learning papers, articles, tutorials, slides and projects

graph-algorithm graph-computing graph-convolutional-network graph-embedding graph-neural-network

Last synced: 03 Jan 2026

https://github.com/jimmyshi22/dgraph

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.

compressed-data dgraph graph-algorithms graph-computing graph-processing scc

Last synced: 15 Apr 2025

https://github.com/saulshanabrook/slide

Graph computation in Clojure using spec

clojure clojure-spec data-flow dataflow graph-computing spec

Last synced: 20 Feb 2025

https://github.com/graiphic/graiphic-documentation

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.

accelerator-toolkit ai-orchestration computer-vision cuda deep-learning directml edge-ai graph-computing hardware-acceleration high-performance-computing inference labview neural-networks onednn onnx onnxruntime openvino sota tensorrt training

Last synced: 22 Nov 2025

https://github.com/graiphic/onnx-runtime-execution-providers-tester

It is the compatibility engine behind the SOTA LabVIEW Deep Learning Toolkit, ensuring that every ONNX operator behaves consistently across hardware targets. It validates each node against multiple execution providers to guarantee reliable and predictable AI deployment.

ai automation backend cpu deep-learning directml execution-provider gpu graph-computing inference labview model-validation onnx onnxruntime openvino operator-coverage sota tensorrt testing training

Last synced: 22 Nov 2025

https://github.com/flyingrobots/gatos

GATOS generalizes Git’s content-addressed DAG into a complete computational substrate: a programmable operating surface unifying history, policy, and computation within a deterministic, verifiable feedback loop.

auditable-ai autonomous-infra compute-as-infrastructure cryptographic-provenance deterministic-history distributed-computing distributed-ledger distributed-runtime federation git git-as-the-operating-surface git-beyond-version-control git-native graph-computing human-ai-collaboration metagraph offline-first policy-as-code policy-as-infrastructure time-travel-debugging

Last synced: 24 Dec 2025