Fair graph mining

J Kang, H Tong - Proceedings of the 30th ACM International Conference …, 2021 - dl.acm.org
In today's increasingly connected world, graph mining plays a pivotal role in many real-world
application domains, including social network analysis, recommendations, marketing and …

Graph vulnerability and robustness: A survey

S Freitas, D Yang, S Kumar, H Tong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The study of network robustness is a critical tool in the characterization and sense making of
complex interconnected systems such as infrastructure, communication and social networks …

A survey of human‐centered evaluations in human‐centered machine learning

F Sperrle, M El‐Assady, G Guo, R Borgo… - Computer Graphics …, 2021 - Wiley Online Library
Visual analytics systems integrate interactive visualizations and machine learning to enable
expert users to solve complex analysis tasks. Applications combine techniques from various …

Fairrankvis: A visual analytics framework for exploring algorithmic fairness in graph mining models

T Xie, Y Ma, J Kang, H Tong… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Graph mining is an essential component of recommender systems and search engines.
Outputs of graph mining models typically provide a ranked list sorted by each item's …

A design space for explainable ranking and ranking models

IA Hazwani, J Schmid, M Sachdeva… - arXiv preprint arXiv …, 2022 - arxiv.org
Item ranking systems support users in multi-criteria decision-making tasks. Users need to
trust rankings and ranking algorithms to reflect user preferences nicely while avoiding …

Interpretable Code Summarization

MS Kamal, SF Nimmy, N Dey - IEEE Transactions on Reliability, 2024 - ieeexplore.ieee.org
Code summarization is a process of creating a readable natural language from
programming source codes. Code summarization has become a popular research topic for …

Explaining the Vulnerabilities of Machine Learning through Visual Analytics

T Xie - 2023 - search.proquest.com
Abstract Machine learning models are increasingly being deployed in real-world
applications where their predictions are used to make critical decisions in a variety of …

The Visual Analytics and Data Exploration Research Lab at Arizona State University

R Maciejewski, Y Ma, J Lukasczyk - Visual Informatics, 2021 - Elsevier
This article describes the research agenda for the Visual Analytics and Data Exploration
Research (VADER) Lab at Arizona State University. Over the past decade, the VADER Lab …

[图书][B] Fairness in Social Network Analysis: Measures and Algorithms

FM Shalmani - 2021 - search.proquest.com
The use of machine learning in human subject-related tasks has resulted in growing
concerns about the inherent biases within such automated decision-making algorithms. In …

Algorithmic foundation of fair graph mining

J Kang - 2023 - ideals.illinois.edu
In an increasingly connected world, graph mining plays a fundamental role in many real-
world applications, such as financial fraud detection, drug discovery, traffic prediction, and …