Modelling relationship between entities in real‐world systems with a simple graph is a
standard approach. However, reality is better embraced as several interdependent …

General visualization tools typically require manual specification of views: analysts must
select data variables and then choose which transformations and visual encodings to apply …

Deep learning is increasingly used in decision-making tasks. However, understanding how
neural networks produce final predictions remains a fundamental challenge. Existing work …

Ideation is a source of innovation and creativity, and is commonly used in early stages of
engineering design processes. This paper proposes an integrated approach for enhancing …

Cryptocurrency based on blockchain technology has gradually become a choice for people
to invest in, and several users have participated in the accumulation of massive transaction …

The COVID-19 pandemic has sparked unprecedented mobilization of scientists, generating
a deluge of papers that makes it hard for researchers to keep track and explore new …

Isolated silos of scientific research and the growing challenge of information overload limit
awareness across the literature and hinder innovation. Algorithmic curation and …

Analyzing large, multivariate graphs is an important problem in many domains, yet such
graphs are challenging to visualize. In this paper, we introduce a novel, scalable, tree-table …

When analyzing a visualized network, users need to explore different sections of the network
to gain insight. However, effective exploration of large networks is often a challenge. While …

We present aggregate query sculpting (AQS), a faceted visual query technique for large-
scale multidimensional data. As a “born scalable” query technique, AQS starts visualization …