Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
Fuente:
arXiv
Saved in:
| Main Authors: | Telyatnikov, Lev, Bucarelli, Maria Sofia, Bernardez, Guillermo, Zaghen, Olga, Scardapane, Simone, Lio, Pietro |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
by: Montagna, Marco, et al.
Published: (2024)
by: Montagna, Marco, et al.
Published: (2024)
Perplexity-Homophily Index: Homophily through Diversity in Hypergraphs
by: Kumar, Gaurav, et al.
Published: (2025)
by: Kumar, Gaurav, et al.
Published: (2025)
How Particle System Theory Enhances Hypergraph Message Passing
by: Ma, Yixuan, et al.
Published: (2025)
by: Ma, Yixuan, et al.
Published: (2025)
On the Sheafification of Higher-Order Message Passing
by: Hume, Jacob, et al.
Published: (2025)
by: Hume, Jacob, et al.
Published: (2025)
Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025)
by: Duta, Iulia, et al.
Published: (2025)
Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
by: Ruggeri, Nicolò, et al.
Published: (2023)
by: Ruggeri, Nicolò, et al.
Published: (2023)
Nonlinear Sheaf Diffusion in Graph Neural Networks
by: Zaghen, Olga
Published: (2024)
by: Zaghen, Olga
Published: (2024)
Link Prediction with Physics-Inspired Graph Neural Networks
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
by: Huang, Keke, et al.
Published: (2023)
by: Huang, Keke, et al.
Published: (2023)
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
by: Carrasco, Martin, et al.
Published: (2025)
by: Carrasco, Martin, et al.
Published: (2025)
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
by: Dong, Kaiwen, et al.
Published: (2023)
by: Dong, Kaiwen, et al.
Published: (2023)
Concept Graph Convolutions: Message Passing in the Concept Space
by: Magister, Lucie Charlotte, et al.
Published: (2026)
by: Magister, Lucie Charlotte, et al.
Published: (2026)
Revisiting the Message Passing in Heterophilous Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024)
by: Zheng, Zhuonan, et al.
Published: (2024)
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
by: Zheng, Yilun, et al.
Published: (2024)
by: Zheng, Yilun, et al.
Published: (2024)
E(n) Equivariant Message Passing Cellular Networks
by: Kovač, Veljko, et al.
Published: (2024)
by: Kovač, Veljko, et al.
Published: (2024)
Scalable Quantum Message Passing Graph Neural Networks for Next-Generation Wireless Communications: Architectures, Use Cases, and Future Directions
by: Giang, Le Tung, et al.
Published: (2026)
by: Giang, Le Tung, et al.
Published: (2026)
Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection
by: Zhuang, Wenhao, et al.
Published: (2024)
by: Zhuang, Wenhao, et al.
Published: (2024)
BeMap: Balanced Message Passing for Fair Graph Neural Network
by: Lin, Xiao, et al.
Published: (2023)
by: Lin, Xiao, et al.
Published: (2023)
Hybrid Approximate Message Passing
by: Rangan, Sundeep, et al.
Published: (2011)
by: Rangan, Sundeep, et al.
Published: (2011)
Source Detection in Hypergraph Epidemic Dynamics using a Higher-Order Dynamic Message Passing Algorithm
by: Ke, Qiao, et al.
Published: (2025)
by: Ke, Qiao, et al.
Published: (2025)
DPHGNN: A Dual Perspective Hypergraph Neural Networks
by: Saxena, Siddhant, et al.
Published: (2024)
by: Saxena, Siddhant, et al.
Published: (2024)
Decentralized Generalized Approximate Message-Passing for Tree-Structured Networks
by: Takeuchi, Keigo
Published: (2023)
by: Takeuchi, Keigo
Published: (2023)
SPHINX: Structural Prediction using Hypergraph Inference Network
by: Duta, Iulia, et al.
Published: (2024)
by: Duta, Iulia, et al.
Published: (2024)
Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)
by: Wang, Zehong, et al.
Published: (2025)
Divergence Estimation in Message Passing algorithms
by: Skuratovs, Nikolajs, et al.
Published: (2021)
by: Skuratovs, Nikolajs, et al.
Published: (2021)
How Does Topology Bias Distort Message Passing? A Dirichlet Energy Perspective
by: Ji, Yanbiao, et al.
Published: (2024)
by: Ji, Yanbiao, et al.
Published: (2024)
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint
by: Shin, Yong-Min, et al.
Published: (2024)
by: Shin, Yong-Min, et al.
Published: (2024)
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
by: Huang, Keke, et al.
Published: (2024)
by: Huang, Keke, et al.
Published: (2024)
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
by: Caralt, Ferran Hernandez, et al.
Published: (2024)
by: Caralt, Ferran Hernandez, et al.
Published: (2024)
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
by: von Pichowski, Jan, et al.
Published: (2024)
by: von Pichowski, Jan, et al.
Published: (2024)
An Information Geometry Interpretation for Approximate Message Passing
by: Liu, Bingyan, et al.
Published: (2024)
by: Liu, Bingyan, et al.
Published: (2024)
Scalable Mamba-Based Message-Passing Neural Decoder for Error-Correcting Codes
by: Gusev, Rostislav, et al.
Published: (2026)
by: Gusev, Rostislav, et al.
Published: (2026)
Sheaf Hypergraph Networks
by: Duta, Iulia, et al.
Published: (2023)
by: Duta, Iulia, et al.
Published: (2023)
Homophily in Complex Networks: Measures, Models, and Applications
by: Saxena, Akrati, et al.
Published: (2025)
by: Saxena, Akrati, et al.
Published: (2025)
Generalized Orthogonal Approximate Message-Passing for Sublinear Sparsity
by: Takeuchi, Keigo
Published: (2025)
by: Takeuchi, Keigo
Published: (2025)
Quadratic Message Passing for Generalized Quadratic Equations Model
by: Zhu, Huimin
Published: (2024)
by: Zhu, Huimin
Published: (2024)
Compressed Sensing with Upscaled Vector Approximate Message Passing
by: Skuratovs, Nikolajs, et al.
Published: (2020)
by: Skuratovs, Nikolajs, et al.
Published: (2020)
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)
Neural Network-Assisted Hybrid Model Based Message Passing for Parametric Holographic MIMO Near Field Channel Estimation
by: Yuan, Zhengdao, et al.
Published: (2024)
by: Yuan, Zhengdao, et al.
Published: (2024)
GenRec: Generative Sequential Recommendation with Large Language Models
by: Cao, Panfeng, et al.
Published: (2024)
by: Cao, Panfeng, et al.
Published: (2024)
Similar Items
-
Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
by: Montagna, Marco, et al.
Published: (2024) -
Perplexity-Homophily Index: Homophily through Diversity in Hypergraphs
by: Kumar, Gaurav, et al.
Published: (2025) -
How Particle System Theory Enhances Hypergraph Message Passing
by: Ma, Yixuan, et al.
Published: (2025) -
On the Sheafification of Higher-Order Message Passing
by: Hume, Jacob, et al.
Published: (2025) -
Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025)