View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (43)

[1]
A Correlation Manifold Self-Attention Network for EEG Decoding
2025Chen Hu, Rui Wang et al.
[2]
SODor: Long-Term EEG Partitioning for Seizure Onset Detection
2024Zheng Chen, Yasuko Matsubara et al.
[3]
SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
2024Shanglin Li, M. Kawanabe et al.
[4]
Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data
2024Ce Ju, Reinmar J. Kobler et al.
[5]
Unearthing the mechanisms of responsive neurostimulation for epilepsy
2023V. Rao, J. Rolston
[6]
R-Mixup: Riemannian Mixup for Biological Networks
2023Xuan Kan, Zimu Li et al.
[7]
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity
2023Jingyuan Li, Leo R. Scholl et al.
[8]
BIOT: Biosignal Transformer for Cross-data Learning in the Wild
2023Chaoqi Yang, M. Westover et al.
[9]
Deep Riemannian Networks for end-to-end EEG decoding
2022Daniel Wilson, R. Schirrmeister et al.
[10]
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
2022Siyi Tang, Jared A. Dunnmon et al.
[11]
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective From the Time–Frequency Analysis
2022Ce Ju, Cuntai Guan
[12]
MAtt: A Manifold Attention Network for EEG Decoding
2022Yue Pan, Jing-Lun Chou et al.
[13]
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
2022Thi Kieu Khanh Ho, N. Armanfard
[14]
Fusion of Physiological and Behavioural Signals on SPD Manifolds with Application to Stress and Pain Detection
2022Yujin Wu, M. Daoudi et al.
[15]
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
2022Reinmar J. Kobler, J. Hirayama et al.
[16]
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks
2022Hejie Cui, Wei Dai et al.
[17]
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
2022Ling Yang, linda Qiao
[18]
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification
2022Ce Ju, Cuntai Guan
[19]
Riemannian Local Mechanism for SPD Neural Networks
2022Ziheng Chen, Tianyang Xu et al.
[20]
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition
2021Xinke Shen, Xianggen Liu et al.

Showing 20 of 43 references

Founder's Pitch

"Developing a novel geometric deep learning model to enhance EEG data representation through dynamic graph-based SPD manifold methods."

Geometric Deep LearningScore: 6View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

1/4 signals

2.5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/26/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.