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 …

We developed and validated an instrument to measure the perceived readability in data
visualization: PREVis. Researchers and practitioners can easily use this instrument as part …

The machine learning (ML) life cycle involves a series of iterative steps, from the effective
gathering and preparation of the data—including complex feature engineering processes …

This paper proposes a linear‐time repulsive‐force‐calculation algorithm with sub‐linear
auxiliary space requirements, achieving an asymptotic improvement over the Barnes‐Hut …

The internet ecosystem is being severely disrupted by cybercrime gangs, such as online
gambling and online drug trafficking. Deactivating and banning core cyber assets of …

Recent work shows that sampling algorithms can be an effective tool for graph visualization.
This paper extends prior work by applying edge sampling algorithms to speed up the spring …

Force-directed layouts belong to a popular class of methods used to position nodes in a
node-link diagram. However, they typically lack direct consideration of global structures …

Graph comparison is important for many common analysis tasks, such as machine learning
classifiers and visual analytic tools. Researchers have developed many graph comparison …

黑灰产团伙的网络化运作严重破坏着网络生态和社会治安. 查封黑灰产团伙掌握的核心资产,
如重要IP 地址和安全证书, 是目前打击黑灰产的主要手段之一. 为此, 提出黑灰产网络资产图谱 …

This paper proposes a linear-time repulsive-force-calculation algorithm with sub-linear
auxiliary space requirements, achieving an asymptotic improvement over the Barnes-Hut …