Hypergraph Neural Networks Reveal Spatial Domains from Single-cell Transcriptomics Data
Fuente:
arXiv
Saved in:
| Main Authors: | Soltani, Mehrad, Rueda, Luis |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs
by: Soltani, Mehrad, et al.
Published: (2024)
by: Soltani, Mehrad, et al.
Published: (2024)
Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics
by: Sun, Xingzhi, et al.
Published: (2024)
by: Sun, Xingzhi, et al.
Published: (2024)
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation
by: Wen, Hongzhi, et al.
Published: (2023)
by: Wen, Hongzhi, et al.
Published: (2023)
Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025)
by: Duta, Iulia, et al.
Published: (2025)
Graph Neural Networks as a Substitute for Transformers in Single-Cell Transcriptomics
by: Qi, Jiaxin, et al.
Published: (2025)
by: Qi, Jiaxin, et al.
Published: (2025)
Generalization Performance of Hypergraph Neural Networks
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
Implicit Hypergraph Neural Network
by: Choudhuri, Akash, et al.
Published: (2025)
by: Choudhuri, Akash, et al.
Published: (2025)
Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective
by: Ge, Shuang, et al.
Published: (2024)
by: Ge, Shuang, et al.
Published: (2024)
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation
by: Li, Xiaoyu, et al.
Published: (2024)
by: Li, Xiaoyu, et al.
Published: (2024)
DOGMA: Weaving Structural Information into Data-centric Single-cell Transcriptomics Analysis
by: Zhang, Ru, et al.
Published: (2026)
by: Zhang, Ru, et al.
Published: (2026)
Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
by: Li, Mengfan, et al.
Published: (2024)
by: Li, Mengfan, et al.
Published: (2024)
FEM-Informed Hypergraph Neural Networks for Efficient Elastoplasticity
by: Yang, Jianchuan, et al.
Published: (2026)
by: Yang, Jianchuan, et al.
Published: (2026)
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
by: Wang, Shuai, et al.
Published: (2024)
by: Wang, Shuai, et al.
Published: (2024)
EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks
by: Dang, Tien, et al.
Published: (2025)
by: Dang, Tien, et al.
Published: (2025)
Hypergraph Neural Network with State Space Models for Node Classification
by: Quadir, A., et al.
Published: (2025)
by: Quadir, A., et al.
Published: (2025)
Hybrid Hypergraph Networks for Multimodal Sequence Data Classification
by: Xu, Feng, et al.
Published: (2025)
by: Xu, Feng, et al.
Published: (2025)
Counterfactual Explanations for Hypergraph Neural Networks
by: Veglianti, Fabiano, et al.
Published: (2026)
by: Veglianti, Fabiano, et al.
Published: (2026)
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
by: Moakhar, Arshia Soltani, et al.
Published: (2023)
by: Moakhar, Arshia Soltani, et al.
Published: (2023)
Scalable Amortized GPLVMs for Single Cell Transcriptomics Data
by: Zhao, Sarah, et al.
Published: (2024)
by: Zhao, Sarah, et al.
Published: (2024)
Hyperedge Interaction-aware Hypergraph Neural Network
by: Ye, Rongping, et al.
Published: (2024)
by: Ye, Rongping, et al.
Published: (2024)
A Subsampling Based Neural Network for Spatial Data
by: Thakur, Debjoy
Published: (2024)
by: Thakur, Debjoy
Published: (2024)
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
by: Yu, Leisheng, et al.
Published: (2025)
by: Yu, Leisheng, et al.
Published: (2025)
Resilience Inference for Supply Chains with Hypergraph Neural Network
by: Shen, Zetian, et al.
Published: (2025)
by: Shen, Zetian, et al.
Published: (2025)
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
by: Kim, Sunwoo, et al.
Published: (2024)
by: Kim, Sunwoo, et al.
Published: (2024)
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts
by: Su, Shiye, et al.
Published: (2024)
by: Su, Shiye, et al.
Published: (2024)
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
by: Bae, Chaewoon, et al.
Published: (2025)
by: Bae, Chaewoon, et al.
Published: (2025)
Sheaf Hypergraph Networks
by: Duta, Iulia, et al.
Published: (2023)
by: Duta, Iulia, et al.
Published: (2023)
Heterogeneous Temporal Hypergraph Neural Network
by: Liu, Huan, et al.
Published: (2025)
by: Liu, Huan, et al.
Published: (2025)
Recent Advances in Hypergraph Neural Networks
by: Yang, Murong, et al.
Published: (2025)
by: Yang, Murong, et al.
Published: (2025)
TransST: Transfer Learning Embedded Spatial Factor Modeling of Spatial Transcriptomics Data
by: Liu, Shuo Shuo, et al.
Published: (2025)
by: Liu, Shuo Shuo, et al.
Published: (2025)
Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing
by: Zhou, Zhiheng, et al.
Published: (2026)
by: Zhou, Zhiheng, et al.
Published: (2026)
A Multi-scale Fused Graph Neural Network with Inter-view Contrastive Learning for Spatial Transcriptomics Data Clustering
by: Mei, Jianping, et al.
Published: (2025)
by: Mei, Jianping, et al.
Published: (2025)
SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics
by: Zhu, Qingtian, et al.
Published: (2024)
by: Zhu, Qingtian, et al.
Published: (2024)
DPHGNN: A Dual Perspective Hypergraph Neural Networks
by: Saxena, Siddhant, et al.
Published: (2024)
by: Saxena, Siddhant, et al.
Published: (2024)
Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2025)
by: Qiu, Xiangfei, et al.
Published: (2025)
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network
by: Benko, Tatyana, et al.
Published: (2024)
by: Benko, Tatyana, et al.
Published: (2024)
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
by: Li, Boyuan, et al.
Published: (2025)
by: Li, Boyuan, et al.
Published: (2025)
HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems
by: Chen, Qiyue, et al.
Published: (2025)
by: Chen, Qiyue, et al.
Published: (2025)
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
by: Jin, Hong, et al.
Published: (2025)
by: Jin, Hong, et al.
Published: (2025)
Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger
by: Sun, Li, et al.
Published: (2026)
by: Sun, Li, et al.
Published: (2026)
Similar Items
-
Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs
by: Soltani, Mehrad, et al.
Published: (2024) -
Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics
by: Sun, Xingzhi, et al.
Published: (2024) -
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation
by: Wen, Hongzhi, et al.
Published: (2023) -
Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025) -
Graph Neural Networks as a Substitute for Transformers in Single-Cell Transcriptomics
by: Qi, Jiaxin, et al.
Published: (2025)