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Awesome Distribution Shift ⭐ 57

A curated list of papers and resources about the distribution shift in machine learning.

A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

Flexible Fairness Constraints ⭐ 20

Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"

Uge Unbiased Graph Embedding ⭐ 5

This is the code for paper "Unbiased Graph Embedding with Biased Graph Observations" accepted by WWW'22.

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