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cs.GR2026
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…
cs.GR2026
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…
cs.DB2026
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…