:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiang, Qin, Wang, Chengjia, Lones, Michael, Chen, Dongdong, Pang, Wei
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2603.19091
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Scale-aware Message Passing For Graph Node Classification
por: Jiang, Qin, et al.
Publicado: (2024)

Demystifying MPNNs: Message Passing as Merely Efficient Matrix Multiplication
por: Jiang, Qin, et al.
Publicado: (2025)

ScaleNet: Scale Invariance Learning in Directed Graphs
por: Jiang, Qin, et al.
Publicado: (2024)

RoPE Distinguishes Neither Positions Nor Tokens in Long Contexts, Provably
por: Du, Yufeng, et al.
Publicado: (2026)

Understanding GNNs and Homophily in Dynamic Node Classification
por: Ito, Michael, et al.
Publicado: (2025)

Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
por: Luo, Yuankai, et al.
Publicado: (2024)

How to avoid machine learning pitfalls: a guide for academic researchers
por: Lones, Michael A.
Publicado: (2021)

Node Classification and Search on the Rubik's Cube Graph with GNNs
por: Barro, Alessandro
Publicado: (2025)

A Comparative Analysis of Transformer Models in Social Bot Detection
por: Veit, Rohan, et al.
Publicado: (2025)

DeGLIF for Label Noise Robust Node Classification using GNNs
por: Kumar, Pintu, et al.
Publicado: (2025)

Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach
por: Zeng, Qian, et al.
Publicado: (2025)

RL Is Neither a Panacea Nor a Mirage: Understanding Supervised vs. Reinforcement Learning Fine-Tuning for LLMs
por: Jin, Hangzhan, et al.
Publicado: (2025)

Generalization Bounds for Spectral GNNs via Fourier Domain Analysis
por: Martirosyan, Vahan A., et al.
Publicado: (2026)

Rethinking Multi-Label Node Classification: Do Tuned Classic GNNs Suffice?
por: Xiao, Yuxuan, et al.
Publicado: (2026)

Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization?
por: Choi, Jeongwhan, et al.
Publicado: (2025)

Unsupervised Optimisation of GNNs for Node Clustering
por: Leeney, William, et al.
Publicado: (2024)

Geometry-Induced Diffusion on Graphs: A Learnable Weighted Laplacian for Spectral GNNs
por: Zosso, Mia, et al.
Publicado: (2026)

A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
por: Liao, Ningyi, et al.
Publicado: (2024)

Classifying Nodes in Graphs without GNNs
por: Winter, Daniel, et al.
Publicado: (2024)

NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification
por: Chen, Jinsong, et al.
Publicado: (2024)

ASPECT: Node-Level Adaptive Spectral Fusion for Graph Contrastive Learning
por: Li, Zhuolong, et al.
Publicado: (2026)

Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
por: Yan, Zimo, et al.
Publicado: (2025)

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

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
por: He, Mingguo, et al.
Publicado: (2023)

HybSpecNet: A Critical Analysis of Architectural Instability in Hybrid-Domain Spectral GNNs
por: Goksu, Huseyin
Publicado: (2025)

Wide & Deep Learning for Node Classification
por: Chen, Yancheng, et al.
Publicado: (2025)

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

Spectral Clustering of Categorical and Mixed-type Data via Extra Graph Nodes
por: Soemitro, Dylan, et al.
Publicado: (2024)

Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features
por: Das, Pallabee, et al.
Publicado: (2025)

Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
por: Qin, Meng, et al.
Publicado: (2025)

Label Inference Attacks against Node-level Vertical Federated GNNs
por: Arazzi, Marco, et al.
Publicado: (2023)

Spectral Clustering via Orthogonalization-Free Methods
por: Pang, Qiyuan, et al.
Publicado: (2023)

Depth, Not Data: An Analysis of Hessian Spectral Bifurcation
por: Deng, Shenyang, et al.
Publicado: (2026)

H$^3$GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
por: Xue, Rui, et al.
Publicado: (2025)

Benchmarking Positional Encodings for GNNs and Graph Transformers
por: Grötschla, Florian, et al.
Publicado: (2024)

PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design
por: Wang, Runtian, et al.
Publicado: (2026)

L-JacobiNet and S-JacobiNet: An Analysis of Adaptive Generalization, Stabilization, and Spectral Domain Trade-offs in GNNs
por: Goksu, Huseyin
Publicado: (2025)

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions
por: Qin, Zhenyue, et al.
Publicado: (2021)

SA-GDA: Spectral Augmentation for Graph Domain Adaptation
por: Pang, Jinhui, et al.
Publicado: (2024)

IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
por: Kostas, Kahraman, et al.
Publicado: (2023)