Cover Image

HEEGNet: Hyperbolic Embeddings for EEG

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Shanglin, Chu, Shiwen, Koç, Okan, Ding, Yi, Zhao, Qibin, Kawanabe, Motoaki, Chen, Ziheng
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts
by: Zhou, Runhe, et al.
Published: (2026)

SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
by: Li, Shanglin, et al.
Published: (2024)

Hyperbolic Busemann Neural Networks
by: Chen, Ziheng, et al.
Published: (2026)

Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
by: Zheng, Wenjie, et al.
Published: (2022)

SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges
by: Ju, Ce, et al.
Published: (2025)

Fully Hyperbolic Rotation for Knowledge Graph Embedding
by: Liang, Qiuyu, et al.
Published: (2024)

Scaling Capability in Token Space: An Analysis of Large Vision Language Model
by: Li, Tenghui, et al.
Published: (2024)

Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuring
by: Ayoughi, Melika, et al.
Published: (2025)

Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
by: van Spengler, Max, et al.
Published: (2025)

Hyperbolic Graph Embeddings: a Survey and an Evaluation on Anomaly Detection
by: Sadat, Souhail Abdelmouaiz, et al.
Published: (2025)

Geometry-Aware Backdoor Attacks: Leveraging Curvature in Hyperbolic Embeddings
by: Baheri, Ali
Published: (2025)

A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space
by: Wang, Zhangyu, et al.
Published: (2024)

K-means Derived Unsupervised Feature Selection using Improved ADMM
by: Sun, Ziheng, et al.
Published: (2024)

Efficient Low Rank Attention for Long-Context Inference in Large Language Models
by: Li, Tenghui, et al.
Published: (2025)

Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
by: Shi, Zhan, et al.
Published: (2025)

SSL-SE-EEG: A Framework for Robust Learning from Unlabeled EEG Data with Self-Supervised Learning and Squeeze-Excitation Networks
by: Chowdhury, Meghna Roy, et al.
Published: (2025)

Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration
by: Kim, Jun-Young, et al.
Published: (2024)

Back To The Future: A Hybrid Transformer-XGBoost Model for Action-oriented Future-proofing Nowcasting
by: Sun, Ziheng
Published: (2024)

EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning
by: Chen, Yuning, et al.
Published: (2025)

EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition
by: Jin, Ming, et al.
Published: (2024)

Neural Bridge Processes
by: Xu, Jian, et al.
Published: (2025)

Data-Efficient Training by Evolved Sampling
by: Cheng, Ziheng, et al.
Published: (2025)

GraphProp: Training the Graph Foundation Models using Graph Properties
by: Sun, Ziheng, et al.
Published: (2025)

Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding
by: Park, Jongmin, et al.
Published: (2025)

Hyperbolic Random Forests
by: Doorenbos, Lars, et al.
Published: (2023)

Could Chemical LLMs benefit from Message Passing
by: Xie, Jiaqing, et al.
Published: (2024)

Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
by: Chen, Xiaojing, et al.
Published: (2026)

Personality-guided Public-Private Domain Disentangled Hypergraph-Former Network for Multimodal Depression Detection
by: Fu, Changzeng, et al.
Published: (2025)

SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
by: Zhou, Yangxuan, et al.
Published: (2025)

EEGAgent: A Unified Framework for Automated EEG Analysis Using Large Language Models
by: Zhao, Sha, et al.
Published: (2025)

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
by: Chen, Zhisheng, et al.
Published: (2025)

Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method
by: Zhang, ZhongYi, et al.
Published: (2025)

Towards Disentangled Preference Optimization Dynamics: Suppress the Loser, Preserve the Winner
by: Chen, Wei, et al.
Published: (2026)

Adversarial Attacks on Hyperbolic Networks
by: van Spengler, Max, et al.
Published: (2024)

Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction
by: Zhang, Huiwen, et al.
Published: (2026)

Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition
by: Zhao, Yimin, et al.
Published: (2024)

EEG-Bench: A Benchmark for EEG Foundation Models in Clinical Applications
by: Kastrati, Ard, et al.
Published: (2025)

Riemannian Networks over Full-Rank Correlation Matrices
by: Chen, Ziheng, et al.
Published: (2026)

Intrinsic Lorentz Neural Network
by: Shi, Xianglong, et al.
Published: (2026)

Enhance Hyperbolic Representation Learning via Second-order Pooling
by: Song, Kun, et al.
Published: (2024)