Cover Image

Predicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph Laplacian

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Manir, Shalima Binta, Oates, Tim
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

ASEHybrid: When Geometry Matters Beyond Homophily in Graph Neural Networks
by: Manir, Shalima Binta, et al.
Published: (2026)

Care-Conditioned Neuromodulation for Autonomy-Preserving Supportive Dialogue Agents
by: Manir, Shalima Binta, et al.
Published: (2026)

Hierarchical Learning for Maze Navigation: Emergence of Mental Representations via Second-Order Learning
by: Manir, Shalima Binta, et al.
Published: (2025)

One Model, Two Minds: A Context-Gated Graph Learner that Recreates Human Biases
by: Manir, Shalima Binta, et al.
Published: (2025)

A Systematic Empirical Study of Grokking: Depth, Architecture, Activation, and Regularization
by: Manir, Shalima Binta, et al.
Published: (2026)

DeBUGCN -- Detecting Backdoors in CNNs Using Graph Convolutional Networks
by: Vartak, Akash, et al.
Published: (2025)

Beyond the Laplacian: Interpolated Spectral Augmentation for Graph Neural Networks
by: Cui, Ziyao, et al.
Published: (2025)

Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
by: Alam, Mohammad Mahmudul, et al.
Published: (2024)

A Simple Spectral Failure Mode for Graph Convolutional Networks
by: Priebe, Carey E., et al.
Published: (2020)

Generalized Learning of Coefficients in Spectral Graph Convolutional Networks
by: Coşkun, Mustafa, et al.
Published: (2024)

Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
by: Ding, Haipeng, et al.
Published: (2025)

Coefficient Decomposition for Spectral Graph Convolution
by: Huang, Feng, et al.
Published: (2024)

Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
by: Ancelotti, Amy, et al.
Published: (2024)

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

Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction
by: Zhong, Yi, et al.
Published: (2019)

Network Distance Based on Laplacian Flows on Graphs
by: Bao, Dianbin, et al.
Published: (2018)

Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
by: Davila, Randy, et al.
Published: (2025)

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks
by: Lu, Weigang, et al.
Published: (2021)

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

Enhancing Spectral Graph Neural Networks with LLM-Predicted Homophily
by: Lu, Kangkang, et al.
Published: (2025)

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

Variational Graph Convolutional Neural Networks
by: Oleksiienko, Illia, et al.
Published: (2025)

Residual Hyperbolic Graph Convolution Networks
by: Xue, Yangkai, et al.
Published: (2024)

Crime Hotspot Prediction Using Deep Graph Convolutional Networks
by: Zubair, Tehreem, et al.
Published: (2025)

MSGCN: Multiplex Spatial Graph Convolution Network for Interlayer Link Weight Prediction
by: Wilson, Steven E., et al.
Published: (2025)

A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction
by: Chan, Victor, et al.
Published: (2020)

A Graph Laplacian Eigenvector-based Pre-training Method for Graph Neural Networks
by: Dai, Howard, et al.
Published: (2025)

Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
by: Han, Minglian
Published: (2025)

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

SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
by: Gu, Jiawei, et al.
Published: (2025)

Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs
by: Fiorini, Stefano, et al.
Published: (2023)

Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
by: Huang, Yiming, et al.
Published: (2023)

Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
by: Izadi, Mohammad, et al.
Published: (2024)

TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks
by: Hossain, Khondoker Murad, et al.
Published: (2024)

Enhancing Robustness of Graph Neural Networks through p-Laplacian
by: Sirohi, Anuj Kumar, et al.
Published: (2025)

Enhancing Robustness of Graph Neural Networks through p-Laplacian
by: Sirohi, Anuj Kumar, et al.
Published: (2024)

Beyond the Laplacian: Doubly Stochastic Matrices for Graph Neural Networks
by: Hu, Zhaobo, et al.
Published: (2026)

Sepsis Prediction Using Graph Convolutional Networks over Patient-Feature-Value Triplets
by: Dan, Bozhi, et al.
Published: (2025)

Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)

Directed Acyclic Graph Convolutional Networks
by: Rey, Samuel, et al.
Published: (2025)