:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guan, Weiqi, He, Junlin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.08475
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Message Passing on the Edge: Towards Scalable and Expressive GNNs
by: Barceló, Pablo, et al.
Published: (2025)

Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
by: Errica, Federico, et al.
Published: (2023)

What Expressivity Theory Misses: Message Passing Complexity for GNNs
by: Kemper, Niklas, et al.
Published: (2025)

A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs
by: Wang, Jiaqi, et al.
Published: (2025)

Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
by: Scholkemper, Michael, et al.
Published: (2024)

Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
by: Park, MoonJeong, et al.
Published: (2024)

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations
by: Trifonov, Vladislav, et al.
Published: (2025)

Polarized Direct Cross-Attention Message Passing in GNNs for Machinery Fault Diagnosis
by: Shi, Zongyu, et al.
Published: (2026)

Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
by: Zhao, Weichen, et al.
Published: (2024)

ADMP-GNN: Adaptive Depth Message Passing GNN
by: Abbahaddou, Yassine, et al.
Published: (2025)

ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation
by: Karmim, Yannis, et al.
Published: (2024)

Improving the Expressiveness of $K$-hop Message-Passing GNNs by Injecting Contextualized Substructure Information
by: Yao, Tianjun, et al.
Published: (2024)

Scalable Data Assimilation with Message Passing
by: Key, Oscar, et al.
Published: (2024)

How Hard Is It for Message-Passing GNNs to Simulate One Weisfeiler-Lehman Color-Refinement Step?
by: Cui, Guanyu, et al.
Published: (2024)

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

On the Scalability of GNNs for Molecular Graphs
by: Sypetkowski, Maciej, et al.
Published: (2024)

Distributed Conformal Prediction via Message Passing
by: Wen, Haifeng, et al.
Published: (2025)

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

Resolving Oversmoothing with Opinion Dissensus
by: Wang, Keqin, et al.
Published: (2025)

Message Passing Variational Autoregressive Network for Solving Intractable Ising Models
by: Ma, Qunlong, et al.
Published: (2024)

Scalable Mamba-Based Message-Passing Neural Decoder for Error-Correcting Codes
by: Gusev, Rostislav, et al.
Published: (2026)

Graph Unitary Message Passing
by: Qiu, Haiquan, et al.
Published: (2024)

Expressive Power of Temporal Message Passing
by: Wałęga, Przemysław Andrzej, et al.
Published: (2024)

Graph Coarsening with Message-Passing Guarantees
by: Joly, Antonin, et al.
Published: (2024)

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

On the Expressive Power of GNNs to Solve Linear SDPs
by: Qian, Chendi, et al.
Published: (2026)

Efficient Higher-order Subgraph Attribution via Message Passing
by: Xiong, Ping, et al.
Published: (2026)

Mixed Regression via Approximate Message Passing
by: Tan, Nelvin, et al.
Published: (2023)

Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
by: Lippmann, Peter, et al.
Published: (2024)

Setting the Record Straight on Transformer Oversmoothing
by: Dovonon, Gbètondji J-S, et al.
Published: (2024)

Position: Message-passing and spectral GNNs are two sides of the same coin
by: Vasileiou, Antonis, et al.
Published: (2026)

Gate the Filter, Not the Message: Node-Channel Mixtures for Pre-Propagation GNNs
by: Yue, Zichao, et al.
Published: (2026)

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
by: Chen, Yihong, et al.
Published: (2022)

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

Invariant-Based Weight Sharing for Message Passing
by: Seiffarth, Florian
Published: (2026)

Optimality of Message-Passing Architectures for Sparse Graphs
by: Baranwal, Aseem, et al.
Published: (2023)

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

On the Sheafification of Higher-Order Message Passing
by: Hume, Jacob, et al.
Published: (2025)

Partitioning Message Passing for Graph Fraud Detection
by: Zhuo, Wei, et al.
Published: (2024)

Low Stein Discrepancy via Message-Passing Monte Carlo
by: Kirk, Nathan, et al.
Published: (2025)