A graph is an abstract model that represents relations among entities, for example, the
interactions between characters in a novel. A background story endows entities and …

摘要随着人工智能技术的突破性进展, 人工智能与可视化的交叉研究成为当前的研究热点之一,
为人工智能和大数据分析领域的若干核心难题提供了启发式的理论, 方法和技术. 一方面 …

Visualizing graphs and networks in non‐Euclidean space can have benefits such as natural
focus+ context in hyperbolic space and the familiarity of interactions in spherical space …

Over the past few decades, a large number of graph layout techniques have been proposed
for visualizing graphs from various domains. In this paper, we present a general framework …

Authoring graph visualization poses great challenges to developers due to its high
requirements on both domain knowledge and development skills. Although existing libraries …

In this paper, we propose the t-FDP model, a force-directed placement method based on a
novel bounded short-range force (t-force) defined by Student's t-distribution. Our formulation …

We propose an approach to underpin interactive visual exploration of large data volumes by
training Learned Visualization Index (LVI). Knowing in advance the data, the aggregation …

Mathematical optimization is the process of determining the set of globally or locally optimal
parameters in a finite or infinite search space. It has been extensively employed in the …

Quantum computing is a rapidly evolving field that enables exponential speed-up over
classical algorithms. At the heart of this revolutionary technology are quantum circuits, which …

Node-link diagrams are widely used to visualize graphs. Most graph layout algorithms only
use graph topology for aesthetic goals (eg, minimize node occlusions and edge crossings) …