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FlowGNN

A dataflow architecture for universal graph neural network inference via multi-queue streaming.

Install / Use

/learn @sharc-lab/FlowGNN
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming

Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao
School of Electrical and Computer Engineering, Georgia Institute of Technology

Overview

FlowGNN overall architecture

This is FlowGNN, a generic dataflow architecture for GNN acceleration which can flexibly support the majority of message-passing GNNs. Read the paper on arXiv.

Related Skills

View on GitHub
GitHub Stars75
CategoryDevelopment
Updated2mo ago
Forks9

Languages

C++

Security Score

80/100

Audited on Jan 15, 2026

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