awesome-gnn-systems
github.com/ch-wan/awesome-gnn-systems ↗A list of awesome GNN systems.
352
GitHub Stars
117
Curated Resources
2
Categories
11 hours ago
Last Refreshed
Open Source LibrariesPapers
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me gnn inference accelerators resources from awesome-gnn-systems"
Installation instructions →What's inside
Papers
- APA 2020GNN Inference Accelerators
GNN-PIM: A Processing-in-Memory Architecture for Graph Neural Networks
- arXiv 2018GNN Libraries
Relational Inductive Biases, Deep Learning, and Graph Networks
- arXiv 2019GNN Dataloaders
TigerGraph: A Native MPP Graph Database
- arXiv 2019GNN Libraries
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
- arXiv 2019GNN Libraries
Fast Graph Representation Learning with PyTorch Geometric
- arXiv 2020GNN Inference Accelerators
GRIP: A Graph Neural Network Accelerator Architecture
Open Source Libraries
- CogDL: An Extensive Toolkit for Deep Learning on Graphs
- DeepGNN: a Framework for Training Machine Learning Models on Large Scale Graph Data
- DGL: Python Package Built to Ease Deep Learning on Graph
- DIG: A Turnkey Library for Diving into Graph Deep Learning Research
- Euler: A Distributed Graph Deep Learning Framework
- Graph-Learn: An Industrial Graph Neural Network Framework
Showing a sample of 117 resources. View the full list on GitHub →