Parameter-Free Structural-Diversity Message Passing for Graph Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Kong, Mingyue, Zhang, Yinglong, Xu, Chengda, Xia, Xuewen, Xu, Xing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning
by: E, Jiawei, et al.
Published: (2024)
by: E, Jiawei, et al.
Published: (2024)
Dual Refinement Cycle Learning: Unsupervised Text Classification of Mamba and Community Detection on Text Attributed Graph
by: Wang, Hong, et al.
Published: (2025)
by: Wang, Hong, et al.
Published: (2025)
Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning
by: Hong, Kaifeng, et al.
Published: (2025)
by: Hong, Kaifeng, et al.
Published: (2025)
Convexified Message-Passing Graph Neural Networks
by: Cohen, Saar, et al.
Published: (2025)
by: Cohen, Saar, et al.
Published: (2025)
Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks
by: Bose, Kushal, et al.
Published: (2025)
by: Bose, Kushal, et al.
Published: (2025)
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks
by: Rizvi, Syed Asad, et al.
Published: (2022)
by: Rizvi, Syed Asad, et al.
Published: (2022)
Revisiting the Message Passing in Heterophilous Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024)
by: Zheng, Zhuonan, et al.
Published: (2024)
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
by: Zheng, Haoran, et al.
Published: (2025)
by: Zheng, Haoran, et al.
Published: (2025)
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
by: Cordonnier, Matthieu, et al.
Published: (2023)
by: Cordonnier, Matthieu, et al.
Published: (2023)
Neural Message-Passing on Attention Graphs for Hallucination Detection
by: Frasca, Fabrizio, et al.
Published: (2025)
by: Frasca, Fabrizio, et al.
Published: (2025)
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network
by: Zhou, Ziang, et al.
Published: (2024)
by: Zhou, Ziang, et al.
Published: (2024)
Entropy Aware Message Passing in Graph Neural Networks
by: Nazari, Philipp, et al.
Published: (2024)
by: Nazari, Philipp, et al.
Published: (2024)
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
by: Taraday, Mitchell Keren, et al.
Published: (2024)
by: Taraday, Mitchell Keren, et al.
Published: (2024)
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2024)
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2024)
Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics
by: Xia, Junfan, et al.
Published: (2025)
by: Xia, Junfan, et al.
Published: (2025)
Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)
by: Wang, Zehong, et al.
Published: (2025)
Probabilistically Rewired Message-Passing Neural Networks
by: Qian, Chendi, et al.
Published: (2023)
by: Qian, Chendi, et al.
Published: (2023)
Graph Coarsening with Message-Passing Guarantees
by: Joly, Antonin, et al.
Published: (2024)
by: Joly, Antonin, et al.
Published: (2024)
Towards Dynamic Message Passing on Graphs
by: Sun, Junshu, et al.
Published: (2024)
by: Sun, Junshu, et al.
Published: (2024)
Graph Unitary Message Passing
by: Qiu, Haiquan, et al.
Published: (2024)
by: Qiu, Haiquan, et al.
Published: (2024)
Improving the Effective Receptive Field of Message-Passing Neural Networks
by: Finder, Shahaf E., et al.
Published: (2025)
by: Finder, Shahaf E., et al.
Published: (2025)
BeMap: Balanced Message Passing for Fair Graph Neural Network
by: Lin, Xiao, et al.
Published: (2023)
by: Lin, Xiao, et al.
Published: (2023)
Learning Physical Simulation with Message Passing Transformer
by: Xu, Zeyi, et al.
Published: (2024)
by: Xu, Zeyi, et al.
Published: (2024)
NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, 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)
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)
by: Gu, Jing, et al.
Published: (2024)
PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing
by: Kohli, Bhavya, et al.
Published: (2026)
by: Kohli, Bhavya, et al.
Published: (2026)
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks
by: Jaiswal, Ajay, et al.
Published: (2024)
by: Jaiswal, Ajay, et al.
Published: (2024)
The Polynomial Counting Capabilities of Message Passing Neural Networks
by: Sälzer, Marco, et al.
Published: (2026)
by: Sälzer, Marco, et al.
Published: (2026)
Optimality of Message-Passing Architectures for Sparse Graphs
by: Baranwal, Aseem, et al.
Published: (2023)
by: Baranwal, Aseem, et al.
Published: (2023)
A Theoretical Formulation of Many-body Message Passing Neural Networks
by: Han, Jiatong
Published: (2024)
by: Han, Jiatong
Published: (2024)
Neural-Symbolic Message Passing with Dynamic Pruning
by: Zhang, Chongzhi, et al.
Published: (2025)
by: Zhang, Chongzhi, et al.
Published: (2025)
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
by: Liang, Langzhang, et al.
Published: (2024)
by: Liang, Langzhang, et al.
Published: (2024)
A Geometry-Aware Message Passing Neural Network for Modeling Aerodynamics over Airfoils
by: Helwig, Jacob, et al.
Published: (2024)
by: Helwig, Jacob, et al.
Published: (2024)
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
by: Wang, Yuelin, et al.
Published: (2022)
by: Wang, Yuelin, et al.
Published: (2022)
Approximate Message Passing for Bayesian Neural Networks
by: Sommerfeld, Romeo, et al.
Published: (2025)
by: Sommerfeld, Romeo, et al.
Published: (2025)
Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint Learning
by: Wang, Ziyan, et al.
Published: (2024)
by: Wang, Ziyan, et al.
Published: (2024)
LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs
by: Zhang, Ying, et al.
Published: (2026)
by: Zhang, Ying, et al.
Published: (2026)
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)
From Message-Passing to Linearized Graph Sequence Models
by: Mathys, Joël, et al.
Published: (2026)
by: Mathys, Joël, et al.
Published: (2026)
Similar Items
-
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning
by: E, Jiawei, et al.
Published: (2024) -
Dual Refinement Cycle Learning: Unsupervised Text Classification of Mamba and Community Detection on Text Attributed Graph
by: Wang, Hong, et al.
Published: (2025) -
Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning
by: Hong, Kaifeng, et al.
Published: (2025) -
Convexified Message-Passing Graph Neural Networks
by: Cohen, Saar, et al.
Published: (2025) -
Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks
by: Bose, Kushal, et al.
Published: (2025)