Time-Varying Graph Learning with Constraints on Graph Temporal Variation

arXiv:2001.03346 · eess.SP, cs.LG · Submitted 2020-01-10 · Read on arXiv

eess.SP, cs.LG

Submitted: 2020-01-10

Updated: 2026-09-10

Comments: Accepted for publication in IEEE Transactions on Signal Processing. Copyright 2026 IEEE. Personal use of this material is permitted

Journal ref: IEEE Transactions on Signal Processing, vol. 74, pp. 3017-3032, 2026

DOI: 10.1109/TSP.2026.3712068

Project page: https://www.jma.go.jp/jma/index.html

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

Terminology

• Regularization — 37× in this paper · explained in 3 episodes
• Adjacency Matrix — 7× in this paper · explained in 1 episode
• Homogeneity — 6× in this paper · explained in 2 episodes
• Switching Behavior — 6× in this paper
• Temporal Homogeneity — 6× in this paper
• Clustering — 5× in this paper · explained in 2 episodes
• Point Cloud Data — 4× in this paper · explained in 2 episodes
• Local Topological Changes — 3× in this paper
• Objective Function — 3× in this paper · explained in 2 episodes
• Sparsity — 3× in this paper · explained in 4 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Point Clouds — 2× in this paper · explained in 2 episodes
• Time-varying Graph Factor Analysis — 2× in this paper
• AND F- MEASURE — 1× in this paper
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• R ELATIVE E RROR — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Static Graph Factor Analysis — 1× in this paper
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

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