Awesome Efficient Gnn Save

Efficient Graph Neural Networks - a curated list of papers and projects

Project README

? Awesome Efficient Graph Neural Networks

This is a curated list of must-read papers on efficient Graph Neural Networks and scalable Graph Representation Learning for real-world applications. Contributions for new papers and topics are welcome!

Accompanying Blogpost:

Efficient and Scalable GNN Architectures

Source: Simplifying Graph Convolutional Networks

Neural Architecture Search for GNNs

Source: Probabilistic Dual Network Architecture Search on Graphs

Large-scale Graphs and Sampling Techniques

Source: GraphSAINT: Graph Sampling Based Inductive Learning Method

Low Precision and Quantized GNNs

Source: Degree-Quant: Quantization-Aware Training for Graph Neural Networks

Knowledge Distillation for GNNs

Source: On Representation Knowledge Distillation for Graph Neural Networks

Hardware Acceleration of GNNs

Source: Computing Graph Neural Networks: A Survey from Algorithms to Accelerators

Code Frameworks, Libraries, and Datasets

Source: OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Industrial Applications and Systems

Source: Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Open Source Agenda is not affiliated with "Awesome Efficient Gnn" Project. README Source: chaitjo/awesome-efficient-gnn

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