7 papers
SNAP-tFDP: Massively Scalable Graph Layouts via Sparse Negative Sampling
Xin Chen, Shuowei Hou, Yifan Wang +5
Force-Directed Placement (FDP) is a widely used approach for network visualization, yet scaling it to massive graphs while preserving clear community structures remains a major com…
Structuring Line Ensembles with Path-Integrated Fidelity and Structural Inconsistency Fields
Yumeng Xue, Patrick Paetzold, Bin Chen +3
When visualizing large-scale line ensembles, trajectory continuity and visual scalability are inherently antagonistic. Trajectory-centric renderings preserve path information but r…
TVA: A Version-aware Temporal Graph Storage System for Real-time Analytics
Wenhao Li, Zhanhao Zhao, Jinhao Dong +4
Analyzing temporal graphs can reveal valuable insights that are typically hidden in static graphs. Unfortunately, existing graph storage systems either lack native temporal support…
Enhancing Line Density Plots with Outlier Control and Bin-based Illumination
Yumeng Xue, Bin Chen, Patrick Paetzold +3
Density plots effectively summarize large numbers of points, which would otherwise lead to severe overplotting in, for example, a scatter plot. However, when applied to line-based…
Neighborhood-Preserving Voronoi Treemaps
Patrick Paetzold, Rebecca Kehlbeck, Yumeng Xue +3
Voronoi treemaps are used to depict nodes and their hierarchical relationships simultaneously. However, in addition to the hierarchical structure, data attributes, such as co-occur…
PCLVis: Visual Analytics of Process Communication Latency in Large-Scale Simulation
Chongke Bi, Xin Gao, Baofeng Fu +4
Large-scale simulations on supercomputers have become important tools for users. However, their scalability remains a problem due to the huge communication cost among parallel proc…
CA2: Cyber Attacks Analytics
Luyu Cheng, Bairui Su, Yumeng Xue +2
The VAST Challenge 2020 Mini-Challenge 1 requires participants to identify the responsible white hat groups behind a fictional Internet outage. To address this task, we have create…