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Graph Neural Networks: Architectures, Stability, and Transferability

https://doi.org/10.1109/jproc.2021.3055400

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What this work says

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Group Invariant Scattering

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Uncertainty Principle on Graphs

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Structured Sequence Modeling with Graph Convolutional Recurrent Networks

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Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks

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Design of Graph Filters and Filterbanks

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Wavelets on graphs via spectral graph theory

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Graph convolutional neural networks via scattering

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Ten Lectures on Wavelets

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Convolutional Neural Network Architectures for Signals Supported on Graphs

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Advances in Distributed Graph Filtering

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Invariance-Preserving Localized Activation Functions for Graph Neural Networks

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Stability Properties of Graph Neural Networks

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Gated Graph Recurrent Neural Networks

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Graphon Signal Processing

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Graph Neural Networks for Ranking Web Pages

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Book Review: Pattern Recognition and Machine Learning

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The MovieLens Datasets

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Graph Convolutional Neural Networks for Web-Scale Recommender Systems

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Graphon Games

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Signal processing on kernel-based random graphs

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inferred← citeshttps://doi.org/10.1109/tsp.2023.3256536openalex-snapshot

Widely-Linear MMSE Estimation of Complex-Valued Graph Signals

inferred← citeshttps://doi.org/10.1109/tsp.2023.3300632openalex-snapshot

Robust Graph Filter Identification and Graph Denoising From Signal Observations

inferred← citeshttps://doi.org/10.1109/tsp.2023.3324221openalex-snapshot

Unsupervised Learning of Sampling Distributions for Particle Filters

inferred← citeshttps://doi.org/10.1109/tsp.2023.3340009openalex-snapshot

MAP Estimation of Graph Signals

inferred← citeshttps://doi.org/10.1109/tsp.2024.3349788openalex-snapshot

Graph Filters for Signal Processing and Machine Learning on Graphs

inferred← citeshttps://doi.org/10.1109/tsp.2024.3378379openalex-snapshot

Stability to Deformations of Manifold Filters and Manifold Neural Networks

inferred← citeshttps://doi.org/10.1109/tsp.2025.3534685openalex-snapshot

Graph Neural Networks Over the Air for Decentralized Tasks in Wireless Networks

inferred← citeshttps://doi.org/10.1109/twc.2022.3204794openalex-snapshot

Cooperative Trajectory Design of Multiple UAV Base Stations With Heterogeneous Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/urucon53396.2021.9647374openalex-snapshot

Predicting Wireless RSSI Using Machine Learning on Graphs

inferred← citeshttps://doi.org/10.1137/24m1651526openalex-snapshot

Generalization Bounds for Message Passing Networks on Mixture of Graphons

inferred← citeshttps://doi.org/10.1145/3770855.3818060openalex-snapshot

MGTA: Multi-scale Graph Tokens Alignment for CTR Prediction via Pre-trained Language Models

inferred← citeshttps://doi.org/10.1155/2021/3155357openalex-snapshot

[Retracted] Automatic Detection Method of Technical and Tactical Indicators for Table Tennis Based on Trajectory Prediction Using Compensation Fuzzy Neural Network

inferred← citeshttps://doi.org/10.1155/2021/5100809openalex-snapshot

[Retracted] Analysis of English Multitext Reading Comprehension Model Based on Deep Belief Neural Network

inferred← citeshttps://doi.org/10.1155/2021/9923364openalex-snapshot

The Online Teaching Mode of College English in the Context of Gaussian Variant Genetic Algorithm

inferred← citeshttps://doi.org/10.1515/jtim-2025-0047openalex-snapshot

Protocol for Chinese lung cancer evolution and microenvironment tracking under therapy study

inferred← citeshttps://doi.org/10.1631/fitee.2300009openalex-snapshot

Combining graph neural network with deep reinforcement learning for resource allocation in computing force networks

inferred← citeshttps://doi.org/10.2174/0115748936289520240828050951openalex-snapshot

MGCN-PolyA: An Integrated Computational Framework for Predicting Poly(A) Signals with Multiscale-gated Convolutional Networks

inferred← citeshttps://doi.org/10.23919/eusipco63237.2025.11226303openalex-snapshot

Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs

inferred← citeshttps://doi.org/10.24251/hicss.2023.339openalex-snapshot

Distributed Power System State Estimation Using Graph Convolutional Neural Networks

inferred← citeshttps://doi.org/10.32446/0368-1025it.2025-6-93-101openalex-snapshot

Application of a digital micromirror device in diffractive optical neural networks: space-time characteristics and limitations

inferred← citeshttps://doi.org/10.3389/fcteg.2023.1104745openalex-snapshot

Graph neural networks for decentralized multi-agent perimeter defense

inferred← citeshttps://doi.org/10.3390/app132212421openalex-snapshot

Research Method for Ship Engine Fault Diagnosis Based on Multi-Head Graph Attention Feature Fusion

inferred← citeshttps://doi.org/10.3390/jmse14070599openalex-snapshot

A Small-Sample Graph Neural Network Approach for Predicting Sortie Mission Reliability of Shipborne Vehicle Layouts

inferred← citeshttps://doi.org/10.3390/su16219239openalex-snapshot

Graph Neural Networks for Routing Optimization: Challenges and Opportunities

inferred← citeshttps://doi.org/10.3390/sym15020535openalex-snapshot

Pattern Recognition and Deep Learning Technologies, Enablers of Industry 4.0, and Their Role in Engineering Research

inferred← citeshttps://doi.org/10.36227/techrxiv.171742564.46066868/v1openalex-snapshot

Survey of Graph Neural Network for Internet of Things and NextG Networks

inferred← citeshttps://doi.org/10.48550/arxiv.2006.06376openalex-snapshot

Wide and Deep Graph Neural Networks with Distributed Online Learning

inferred← citeshttps://doi.org/10.48550/arxiv.2105.08601openalex-snapshot

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection

inferred← citeshttps://doi.org/10.48550/arxiv.2106.10526openalex-snapshot

Stability of Graph Convolutional Neural Networks to Stochastic Perturbations

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