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Force-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution

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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 is flexible, exerts limited repulsive forces for nearby nodes and can be adapted separately in its short- and long-range effects. Using such forces in force-directed graph layouts yields better neighborhood preservation than current methods, while maintaining low stress errors. Our efficient implementation using a Fast Fourier Transform is one order of magnitude faster than state-of-the-art methods and two orders faster on the GPU, enabling us to perform parameter tuning by globally and locally adjusting the t-force in real-time for complex graphs. We demonstrate the quality of our approach by numerical evaluation against state-of-the-art approaches and extensions for interactive exploration.

Fahai Zhong, Mingliang Xue, Jian Zhang, Fan Zhang, Rui Ban, Oliver Deussen, Yunhai Wang• 2023

Related benchmarks

TaskDatasetResultRank
Node ClassificationPhoto (test)
Mean Accuracy84.5
241
Link PredictionCiteseer
AUC97.8
174
Link PredictionCora
AUC (Cora)96.1
94
Node ClassificationCora (random)
Accuracy60.3
79
Link PredictionPhoto
AUC-ROC96.1
52
Link PredictionComputers
AUC-ROC94.3
50
Link PredictionarXiv
AUC88.8
40
Link PredictionPubmed
AUC-ROC93.7
29
Structural PreservationMAG
Spearman Correlation53.6
12
Structural PreservationCiteseer
Spearman Correlation65.7
12
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