Inform: individual fairness on graph mining
WebKang et al. [16] propose a framework called InFoRM (Individual Fairness on Graph Mining) to debias a graph mining pipeline from the input graph (preprocessing), the … Web21 mrt. 2024 · Graph neural networks (GNNs) have shown superior performance in learning node representation for various graph inference tasks and play a pivotal role…
Inform: individual fairness on graph mining
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Web14 aug. 2024 · Fairness has also been recently explored for the outcomes of graph neural networks (Dai and Wang, 2024; Ma et al., 2024; Dong et al., 2024; Dai and Wang, … WebUniversity of Illinois at Urbana-Champaign - Cited by 4,459 - Machine Learning - Data Mining - Social Networks - Medical Informatics ... Inform: Individual fairness on graph …
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Web23 aug. 2024 · A graph mining method consists of three major components: the input graph, the mining model and the mining results [35]. The main idea behind individual … WebIn this paper, we study fair graph representations from different levels. Specifically, we consider both group fairness and individual fairness on graph. To debias graph …
Web3 mrt. 2024 · Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong: InFoRM: Individual Fairness on Graph Mining. KDD 2024 [ PDF ] [ Slides ] Si Zhang, Hanghang …
Web21 apr. 2024 · This paper presents the first principled study of Individual Fairness on gRaph Mining (InFoRM), and presents a generic definition of individual fairness for … cooking pork loin rib roastWebinput graph mining model mining results input Algorithmic Fairness in Machine Learning •Goal:minimize unintentional bias caused by machine learning algorithms •Existing … family fun festWebAbout Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators ... family fun fitness greenfieldWebThis paper presents the first principled study of Individual Fairness on gRaph Mining (InFoRM). First, we present a generic definition of individual fairness for graph mining … cooking pork loin roastWebThis paper presents the first principled study of Individual Fairness on gRaph Mining (InFoRM). First, we present a generic definition of individual fairness for graph mining … cooking pork loin per poundWeb23 aug. 2024 · The sparse literature on fair graph mining has almost exclusively focused on group-based fairness notation. However, the notion of individual fairness, which … family fun festival chicagoWebhow to tackle unfairness issues in graph mining algorithms naturally becomes a crucial problem. Fulfilling fairness in graph mining can be non-trivial due Y. Dong is with … family fun fest trinity park