Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks   Graph Neural Networks (GNNs) have shown superior performance in analyzing
attributed networks in various web-based applications such as social
recommendation and web search. Nevertheless, in high-stake decision-making
scenarios such as online fraud detection, there is an increasing societal
concern that GNNs could make discriminatory decisions towards certain
demographic groups. Despite recent explorations on fair GNNs, these works are
tailored for a specific GNN model. However, myriads of GNN variants have been
proposed for different applications, and it is costly to fine-tune existing
debiasing algorithms for each specific GNN architecture. Different from
existing works that debias GNN models, we aim to debias the input attributed
network to achieve fairer GNNs through feeding GNNs with less biased data.
Specifically, we propose novel definitions and metrics to measure the bias in
an attributed network, which leads to the optimization objective to mitigate
bias. We then develop a framework EDITS to mitigate the bias in attributed
networks while maintaining the performance of GNNs in downstream tasks. EDITS
works in a model-agnostic manner, i.e., it is independent of any specific GNN.
Experiments demonstrate the validity of the proposed bias metrics and the
superiority of EDITS on both bias mitigation and utility maintenance.
Open-source implementation: https://github.com/yushundong/EDITS.

14
The categories of this paper are: math-ph
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn