Skip to content

Latest commit

 

History

History
17 lines (10 loc) · 577 Bytes

README.md

File metadata and controls

17 lines (10 loc) · 577 Bytes

egia

This is an implementation of paper : Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information

Requirements

  • Python 3.7.7
  • Please install other pakeages by pip install -r requirements.txt

Running Environment

The experimental results reported in paper are conducted on a Windows Server with Intel (R) Core (TM) i9-9820X CPU @ 3.30GHz and 657 128G RAM, which might be slightly inconsistent with the results induced by other platforms.

Acknowledgement

This repo is modified from sgc