Mental State Classification Using Multi-Graph Features

By Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe. 2022

Subfields: Graph Learning, Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Graph Learning

1. Joshua T. Vogelstein

In Neuroscience

1. Hayden S. Helm
2. Carey E. Priebe

Citations in the corpus

• Black-box model classification under the discriminative factorization (2026, unknown): “Following Chen et al. [6], we use the second elbow of the scree plot of singular values of D as the embedding dimension d .”
• Detecting Perspective Shifts in Multi-agent Systems (2025, unknown): “The assumptions typically stem from the difficulty of obtaining multiple realizations from high-dimensional structured objects across time.”
• Comparing Foundation Models using Data Kernels (2023, methodology): “We model the data kernel as an RDPG because of the successful application in a variety of domains [10, 6, 24] and its corresponding theoretical foundations.”
• Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis (2023, methodology): “The descriptions of the cognitive load and stress datasets are altered versions of the descriptions found in Chen et al. (Chen et al., 2022).”