A Network Science Approach to Granular Time Series Segmentation

arXiv:2505.17640 · cs.LG, eess.SP · Submitted 2025-05-23 · Read on arXiv

cs.LG, eess.SP

Submitted: 2025-05-23

Updated: 2026-09-17

Comments: 23 pages, 7 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• F1 Score — 25× in this paper · explained in 3 episodes
• Benchmark — 12× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• GNNs — 8× in this paper · explained in 2 episodes
• Time Series Segmentation — 8× in this paper
• Adjacency Matrix — 7× in this paper · explained in 1 episode
• Ablation — 4× in this paper · explained in 1 episode
• Activation Function — 4× in this paper · explained in 1 episode
• Horizontal Visibility — 4× in this paper
• Ablation study — 3× in this paper · explained in 1 episode
• Clustering — 3× in this paper · explained in 2 episodes
• Horizontal Visibility Graph — 3× in this paper
• Natural Visibility — 3× in this paper
• Neural Architecture Search — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Change Point Detection — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 2× in this paper · explained in 7 episodes
• Natural Visibility Graph — 2× in this paper
• Parameter Efficiency — 2× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Chaotic Dynamics — 1× in this paper · explained in 2 episodes
• Contextual Understanding — 1× in this paper · explained in 2 episodes
• Exponential Linear Unit — 1× in this paper
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Graph Convolutional Network — 1× in this paper
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes
• Predictive Maintenance — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transition Probability — 1× in this paper
• Weighted Dual Perspective Visbility Graph — 1× in this paper
• Windowed Segment Classification — 1× in this paper

Sources

• Graph Attention Networks
• CLaP -- State Detection from Time Series

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