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S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.

Home Page: https://arxiv.org/pdf/2301.12562.pdf

Python 97.19% Shell 0.66% Jupyter Notebook 2.16%
deep-learning graph-neural-networks graph-representation-learning link-prediction machine-learning ogb open-graph-benchmark pytorch pytorch-geometric scalability seal subgraph-representation-learning

s3grl_ogb's Introduction

Hello!

I'm Paul. I am a Master of Science in Computer Science graduate from Ontario Tech University, working as a Software Developer at Siemens EDA. You can see my projects below and read more about me on my LinkedIn or my website. You can also access a PDF of my resume here.

  • ๐Ÿ“ซ How to reach me: Feel free to contact me at [email protected].
  • ๐Ÿ˜„ Pronouns: he/him

s3grl_ogb's People

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s3grl_ogb's Issues

Fix ogb-vessel download link, logs shared link

My university (Ontario Tech University) decided to downsize all students' drive storage to 5Gb. Had to delete all my files. Need to store and share all artifacts related to this project again.

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