ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.11176
  4. Cited By
Modeling Multivariate Biosignals With Graph Neural Networks and
  Structured State Space Models

Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models

21 November 2022
Siyi Tang
Jared A. Dunnmon
Liangqiong Qu
Khaled Kamal Saab
T. Baykaner
Christopher Lee-Messer
D. Rubin
ArXivPDFHTML

Papers citing "Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models"

15 / 15 papers shown
Title
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models
Shriyank Somvanshi
Md Monzurul Islam
Mahmuda Sultana Mimi
Sazzad Bin Bashar Polock
Gaurab Chhetri
Subasish Das
Mamba
AI4TS
40
0
0
22 Mar 2025
BioSerenity-E1: a self-supervised EEG model for medical applications
Ruggero G. Bettinardi
Mohamed Rahmouni
Ulysse Gimenez
62
0
0
13 Mar 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Xin He
Y. Wang
Wenqi Fan
Xu Shen
Xin Juan
Rui Miao
Xin Wang
66
0
0
26 Jan 2025
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model
  for Long Sequences Learning
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning
Yan Zhong
Ruoyu Zhao
Chao Wang
Qinghai Guo
Jianguo Zhang
Zhichao Lu
Luziwei Leng
39
2
0
07 Oct 2024
Recovering Time-Varying Networks From Single-Cell Data
Recovering Time-Varying Networks From Single-Cell Data
Euxhen Hasanaj
Barnabás Póczos
Ziv Bar-Joseph
AI4CE
14
0
0
01 Oct 2024
Parkinson's Disease Detection from Resting State EEG using Multi-Head
  Graph Structure Learning with Gradient Weighted Graph Attention Explanations
Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations
Wenbin Zhou
Yong Zeng
Yiming Xiao
12
0
0
01 Aug 2024
Mamba-FETrack: Frame-Event Tracking via State Space Model
Mamba-FETrack: Frame-Event Tracking via State Space Model
Ju Huang
Shiao Wang
Shuai Wang
Zhe Wu
Xiao Wang
Bowei Jiang
Mamba
39
12
0
28 Apr 2024
Graph Mamba: Towards Learning on Graphs with State Space Models
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz
Farnoosh Hashemi
AI4CE
104
57
0
13 Feb 2024
Learning Long Sequences in Spiking Neural Networks
Learning Long Sequences in Spiking Neural Networks
Matei Ioan Stan
Oliver Rhodes
30
10
0
14 Dec 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
31
1
0
24 Aug 2023
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
92
226
0
18 Jan 2021
RobustSleepNet: Transfer learning for automated sleep staging at scale
RobustSleepNet: Transfer learning for automated sleep staging at scale
Antoine Guillot
Valentin Thorey
OOD
33
81
0
07 Jan 2021
InceptionTime: Finding AlexNet for Time Series Classification
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
AI4TS
85
1,058
0
11 Sep 2019
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
210
1,391
0
04 Dec 2018
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
231
3,202
0
24 Nov 2016
1