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FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
To address the bias in node features and model parameters, FairSample is complemented by a regularization objective to optimize fairness.
Deep Job Understanding at LinkedIn
To continuously improve LinkedIn's job understanding ability, we designed an expert feedback loop where we integrated job understanding models into LinkedIn's products to collect job posters' feedback.
Forward Backward Similarity Search in Knowledge Networks
Similarity search is a fundamental problem in social and knowledge networks like GitHub, DBLP, Wikipedia, etc.
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