Cover Image

Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Haoran, Yang, Renchi, Zhou, Yubo, Xu, Jianliang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network
by: Zhou, Ziang, et al.
Published: (2024)

Adaptive Local Clustering over Attributed Graphs
by: Zheng, Haoran, et al.
Published: (2025)

Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
by: Zheng, Haoran, et al.
Published: (2025)

GraSP: Simple yet Effective Graph Similarity Predictions
by: Zheng, Haoran, et al.
Published: (2024)

Revisiting the Message Passing in Heterophilous Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024)

Convexified Message-Passing Graph Neural Networks
by: Cohen, Saar, et al.
Published: (2025)

Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing
by: Zhou, Zhiheng, et al.
Published: (2026)

Parameter-Free Structural-Diversity Message Passing for Graph Neural Networks
by: Kong, Mingyue, et al.
Published: (2025)

FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks
by: Rizvi, Syed Asad, et al.
Published: (2022)

Neural-Symbolic Message Passing with Dynamic Pruning
by: Zhang, Chongzhi, et al.
Published: (2025)

Probabilistically Rewired Message-Passing Neural Networks
by: Qian, Chendi, et al.
Published: (2023)

Improving the Effective Receptive Field of Message-Passing Neural Networks
by: Finder, Shahaf E., et al.
Published: (2025)

Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks
by: Bose, Kushal, et al.
Published: (2025)

The Polynomial Counting Capabilities of Message Passing Neural Networks
by: Sälzer, Marco, et al.
Published: (2026)

A Theoretical Formulation of Many-body Message Passing Neural Networks
by: Han, Jiatong
Published: (2024)

DYMAG: Rethinking Message Passing Using Dynamical-systems-based Waveforms
by: Bhaskar, Dhananjay, et al.
Published: (2023)

Transformers from Diffusion: A Unified Framework for Neural Message Passing
by: Wu, Qitian, et al.
Published: (2024)

Approximate Message Passing for Bayesian Neural Networks
by: Sommerfeld, Romeo, et al.
Published: (2025)

Spectral Subspace Clustering for Attributed Graphs
by: Lin, Xiaoyang, et al.
Published: (2024)

Neural Message-Passing on Attention Graphs for Hallucination Detection
by: Frasca, Fabrizio, et al.
Published: (2025)

LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs
by: Zhang, Ying, et al.
Published: (2026)

Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
by: Taraday, Mitchell Keren, et al.
Published: (2024)

Entropy Aware Message Passing in Graph Neural Networks
by: Nazari, Philipp, et al.
Published: (2024)

Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
by: Lai, Yurui, et al.
Published: (2024)

Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks
by: Papillon, Mathilde, et al.
Published: (2023)

A Geometry-Aware Message Passing Neural Network for Modeling Aerodynamics over Airfoils
by: Helwig, Jacob, et al.
Published: (2024)

Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
by: Cordonnier, Matthieu, et al.
Published: (2023)

Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2024)

Learning Physical Simulation with Message Passing Transformer
by: Xu, Zeyi, et al.
Published: (2024)

Towards Dynamic Message Passing on Graphs
by: Sun, Junshu, et al.
Published: (2024)

GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
by: Wang, Hewen, et al.
Published: (2025)

E(n) Equivariant Message Passing Cellular Networks
by: Kovač, Veljko, et al.
Published: (2024)

Generalization Bounds for Message Passing Networks on Mixture of Graphons
by: Maskey, Sohir, et al.
Published: (2024)

Sampling-based Distributed Training with Message Passing Neural Network
by: Kakka, Priyesh, et al.
Published: (2024)

Heterophily-informed Message Passing
by: Wang, Haishan, et al.
Published: (2025)

Automated Heterogeneous Network learning with Non-Recursive Message Passing
by: Li, Zhaoqing, et al.
Published: (2025)

BeMap: Balanced Message Passing for Fair Graph Neural Network
by: Lin, Xiao, et al.
Published: (2023)

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics
by: Xia, Junfan, et al.
Published: (2025)

Geometric Multi-color Message Passing Graph Neural Networks for Blood-brain Barrier Permeability Prediction
by: Nguyen, Trung, et al.
Published: (2025)

Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
by: Gu, Jing, et al.
Published: (2024)