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Found 4 papers, 1 papers with code
Heterophily-Based Graph Neural Network for Imbalanced Classification
This leads to suboptimal performance of standard GNNs on imbalanced graphs.
DCC: A Cascade based Approach to Detect Communities in Social Networks
In this paper, we have introduced a novel method called \emph{Disjoint Community detection using Cascades (DCC)} which demonstrates the effectiveness of a new local density based tie strength measure on detecting communities.
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
Active Learning (AL) techniques have proven to be highly effective in reducing data labeling costs across a range of machine learning tasks.
Survey on Fair Reinforcement Learning: Theory and Practice
In this article, we provide an extensive overview of fairness approaches that have been implemented via a reinforcement learning (RL) framework.
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