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Self-Supervised Graph Neural Networks for Improved
  Electroencephalographic Seizure Analysis

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis

16 April 2021
Siyi Tang
Jared A. Dunnmon
Khaled Kamal Saab
Xuan Zhang
Qianying Huang
Florian Dubost
D. Rubin
Christopher Lee-Messer
ArXivPDFHTML

Papers citing "Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis"

47 / 47 papers shown
Title
SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG Recordings
SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG Recordings
Kerui Wu
Ziyue Zhao
Bülent Yener
ViT
51
0
0
01 Apr 2025
Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification
Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification
Jiexia Ye
Weiqi Zhang
Z. Li
Jiajun Li
Fugee Tsung
MedIm
44
0
0
19 Mar 2025
BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification
BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification
Jian Qian
Teck Lun Goh
Bingyu Xie
Chengyao Zhu
Biao Wan
Yawen Guan
Rachel Ding Chen
Patrick Chiang
Mamba
45
0
0
14 Mar 2025
BioSerenity-E1: a self-supervised EEG model for medical applications
Ruggero G. Bettinardi
Mohamed Rahmouni
Ulysse Gimenez
69
0
0
13 Mar 2025
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
Arshia Afzal
V. Cevher
Mahsa Shoaran
59
0
0
11 Mar 2025
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Jiahe Li
Xin Chen
Fanqi Shen
Junru Chen
Y. Liu
Daoze Zhang
Zhizhang Yuan
F. Zhao
Meng Li
Yang Yang
36
0
0
24 Feb 2025
Single-Channel EEG Tokenization Through Time-Frequency Modeling
Single-Channel EEG Tokenization Through Time-Frequency Modeling
Jathurshan Pradeepkumar
Xihao Piao
Zheng Chen
Jimeng Sun
45
1
0
22 Feb 2025
Causal Temporal Regime Structure Learning
Causal Temporal Regime Structure Learning
Abdellah Rahmani
Pascal Frossard
CML
78
2
0
20 Feb 2025
Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior
Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior
Hanyang Dong
Shurong Sheng
Xiongfei Wang
Jiahong Gao
Yi Sun
Wanli Yang
Kuntao Xiao
Pengfei Teng
Guoming Luan
Zhao Lv
21
0
0
05 Jan 2025
Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure
  Subtype Classification
Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification
Ruimin Peng
Zhenbang Du
Changming Zhao
Jingwei Luo
Wenzhong Liu
Xinxing Chen
Dongrui Wu
MedIm
87
8
0
04 Dec 2024
Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification
Ruimin Peng
Jiayu An
Dongrui Wu
78
1
0
29 Nov 2024
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG
  Representation Learning
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning
Rikuto Kotoge
Zheng Chen
Tasuku Kimura
Yasuko Matsubara
Takufumi Yanagisawa
H. Kishima
Yasushi Sakurai
OOD
SSL
29
1
0
15 Oct 2024
A Survey of Spatio-Temporal EEG data Analysis: from Models to
  Applications
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
Pengfei Wang
Huanran Zheng
Silong Dai
Yiqiao Wang
Xiaotian Gu
Yuanbin Wu
Xiaoling Wang
SyDa
AI4TS
45
3
0
26 Sep 2024
LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for
  Driver Drowsiness Monitoring
LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring
Jingwei Huang
Chuansheng Wang
Jiayan Huang
Haoyi Fan
Antoni Grau
Fuquan Zhang
26
0
0
08 Jul 2024
SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field
SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field
Yuhang He
Shitong Xu
Jia-Xing Zhong
Sangyun Shin
Niki Trigoni
Andrew Markham
30
0
0
16 Jun 2024
REST: Efficient and Accelerated EEG Seizure Analysis through Residual
  State Updates
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
Arshia Afzal
Grigorios G. Chrysos
V. Cevher
Mahsa Shoaran
27
5
0
03 Jun 2024
Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Yihe Wang
Nan Huang
Taida Li
Yujun Yan
Xiang Zhang
MedIm
AI4TS
30
21
0
24 May 2024
Dynamic GNNs for Precise Seizure Detection and Classification from EEG
  Data
Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data
Arash Hajisafi
Haowen Lin
Yao-Yi Chiang
Cyrus Shahabi
16
5
0
08 May 2024
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG
  Foundation Model
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model
Yuqi Chen
Kan Ren
Kaitao Song
Yansen Wang
Yifan Wang
Dongsheng Li
Lili Qiu
36
15
0
11 Jan 2024
An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic
  Seizure Detection
An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection
Abdul Aziz
Nhat Pham
Neel Vora
Cody T. Reynolds
Jaime Lehnen
...
Zhuoran Yao
Jay Harvey
Tam N. Vu
Kan Ding
Phuc Nguyen
16
0
0
01 Jan 2024
Time-Series Contrastive Learning against False Negatives and Class
  Imbalance
Time-Series Contrastive Learning against False Negatives and Class Imbalance
Xi Jin
Jing Wang
Lei Liu
Youfang Lin
26
1
0
19 Dec 2023
VSViG: Real-time Video-based Seizure Detection via Skeleton-based
  Spatiotemporal ViG
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG
Yankun Xu
Junzhe Wang
Yun-Hsuan Chen
Jie Yang
Wenjie Ming
Shuangquan Wang
Mohamad Sawan
11
0
0
24 Nov 2023
Large-scale Foundation Models and Generative AI for BigData Neuroscience
Large-scale Foundation Models and Generative AI for BigData Neuroscience
Ran Wang
Zhe Sage Chen
MedIm
AI4CE
LRM
21
8
0
27 Oct 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based
  Emotion Recognition
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition
Hongxiang Gao
Xiangyao Wang
Zhenghua Chen
Min-man Wu
Zhipeng Cai
Lulu Zhao
Jianqing Li
Chengyu Liu
35
9
0
22 Oct 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical
  Time-Series
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
Yihe Wang
Yu Han
Haishuai Wang
Xiang Zhang
AI4TS
24
46
0
21 Oct 2023
Open-Set Multivariate Time-Series Anomaly Detection
Open-Set Multivariate Time-Series Anomaly Detection
Thomas Lai
Thi Kieu Khanh Ho
Narges Armanfard
AI4TS
39
3
0
18 Oct 2023
Graph Neural Network-based EEG Classification: A Survey
Graph Neural Network-based EEG Classification: A Survey
D. Klepl
Min Wu
F. He
46
21
0
03 Oct 2023
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
Thi Kieu Khanh Ho
Narges Armanfard
AI4TS
42
1
0
24 Aug 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TS
AI4CE
41
143
0
07 Jul 2023
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal
  Modeling
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling
Ziyue Li
Yuchen Fang
You Li
Kan Ren
Yansen Wang
Xufang Luo
Juanyong Duan
Congrui Huang
Dongsheng Li
Lili Qiu
18
6
0
02 Jul 2023
EEG Decoding for Datasets with Heterogenous Electrode Configurations
  using Transfer Learning Graph Neural Networks
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks
Jinpei Han
Xia Wei
Aldo A. Faisal
34
12
0
20 Jun 2023
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain
  Signals
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals
Donghong Cai
Junru Chen
Yang Yang
Te-Chun Liu
Yafeng Li
16
20
0
15 Jun 2023
Towards trustworthy seizure onset detection using workflow notes
Towards trustworthy seizure onset detection using workflow notes
Khaled Kamal Saab
Siyi Tang
Mohamed Taha
Christopher Lee-Messer
Christopher Ré
D. Rubin
17
4
0
14 Jun 2023
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of
  Alzheimer's Disease using EEG Data
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data
D. Klepl
F. He
M. Wu
D. Blackburn
P. Sarrigiannis
27
22
0
12 Apr 2023
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic
  Seizure Detection
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection
Qinyue Zheng
Arun Venkitaraman
Simona Petravic
P. Frossard
FedML
18
1
0
03 Apr 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A
  Current Survey
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani
Lynn Miller
Chang Wei Tan
G. I. Webb
Germain Forestier
Mahsa Salehi
BDL
AI4TS
30
93
0
06 Feb 2023
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
Daniel Y. Fu
Tri Dao
Khaled Kamal Saab
A. Thomas
Atri Rudra
Christopher Ré
70
370
0
28 Dec 2022
Modeling Multivariate Biosignals With Graph Neural Networks and
  Structured State Space Models
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
Siyi Tang
Jared A. Dunnmon
Liangqiong Qu
Khaled Kamal Saab
T. Baykaner
Christopher Lee-Messer
D. Rubin
22
21
0
21 Nov 2022
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type
  Classification Using EEG
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG
H. Albaqami
Ghulam Mubashar Hassan
A. Datta
25
23
0
09 Nov 2022
A Meta-GNN approach to personalized seizure detection and classification
A Meta-GNN approach to personalized seizure detection and classification
Abdellah Rahmani
Arun Venkitaraman
P. Frossard
17
11
0
01 Nov 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs
MentorGNN: Deriving Curriculum for Pre-Training GNNs
Dawei Zhou
Lecheng Zheng
Dongqi Fu
Jiawei Han
Jingrui He
33
22
0
21 Aug 2022
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs:
  Application to Seizure Analysis
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
Thi Kieu Khanh Ho
Narges Armanfard
31
43
0
15 Aug 2022
See What You See: Self-supervised Cross-modal Retrieval of Visual
  Stimuli from Brain Activity
See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity
Zesheng Ye
Lina Yao
Yu Zhang
Silvia Gustin
21
6
0
07 Aug 2022
Improving self-supervised pretraining models for epileptic seizure
  detection from EEG data
Improving self-supervised pretraining models for epileptic seizure detection from EEG data
Sudip Das
Pankaja Pandey
Krishna P. Miyapuram
MedIm
13
4
0
28 Jun 2022
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
41
202
0
28 Jan 2021
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A
  Review
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Khansa Rasheed
A. Qayyum
Junaid Qadir
Shobi Sivathamboo
P. Kwan
L. Kuhlmann
T. O'Brien
Adeel Razi
34
220
0
04 Feb 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
253
3,239
0
24 Nov 2016
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