Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Michaël Defferrard; Xavier Bresson; Pierre Vandergheynst

doi:https://doi.org/10.48550/arxiv.1606.09375

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

2016 · arXiv (Cornell University) · 1,703 citations · 10 from inside this corpus

Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

14 of 14 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Graph neural networks: A review of methods and applications→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Graph Convolutional Networks for Text Classification→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Graph embedding techniques, applications, and performance: A survey→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
A survey on deep learning and its applications→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
An End-to-End Deep Learning Architecture for Graph Classification→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering→A Wavelet Tour of Signal ProcessingLegacy edge — source detail unavailable
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering→Spectral Networks and Locally Connected Networks on GraphsLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Convolutional 2D Knowledge Graph EmbeddingsLegacy edge — source detail unavailable
Graph embedding techniques, applications, and performance: A survey→Spectral Networks and Locally Connected Networks on GraphsLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
An End-to-End Deep Learning Architecture for Graph Classification→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
An End-to-End Deep Learning Architecture for Graph Classification→Spectral Networks and Locally Connected Networks on GraphsLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Graph Convolutional Networks for Text Classification→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
Graph Convolutional Networks for Text Classification→Spectral Networks and Locally Connected Networks on GraphsLegacy edge — source detail unavailable
Graph Convolutional Networks for Text Classification→Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningLegacy edge — source detail unavailable
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning→Spectral Networks and Locally Connected Networks on GraphsLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Graph embedding techniques, applications, and performance: A surveyLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Graph Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
Graph convolutional networks: a comprehensive review→Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→A Wavelet Tour of Signal ProcessingLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Graph embedding techniques, applications, and performance: A surveyLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Convolutional 2D Knowledge Graph EmbeddingsLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→An End-to-End Deep Learning Architecture for Graph ClassificationLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Heterogeneous Graph Attention NetworkLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Graph Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Deeper Insights Into Graph Convolutional Networks for Semi-Supervised LearningLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Graph convolutional networks: a comprehensive reviewLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Adam: A Method for Stochastic Optimization	2014	84,698
A Wavelet Tour of Signal Processing	1999	16,470
Efficient Estimation of Word Representations in Vector Space	2013	11,714
Spectral Networks and Locally Connected Networks on Graphs	2013	2,726

What cites it, inside the corpus

Paper	Year	Cited
Graph neural networks: A review of methods and applications	2020	5,808
Modeling Relational Data with Graph Convolutional Networks	2018	5,233
Heterogeneous Graph Attention Network	2019	2,999
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning	2018	2,652
Convolutional 2D Knowledge Graph Embeddings	2018	2,467
Graph Convolutional Networks for Text Classification	2019	2,000
Graph convolutional networks: a comprehensive review	2019	1,877
Graph embedding techniques, applications, and performance: A survey	2018	1,844
A survey on deep learning and its applications	2021	1,548
An End-to-End Deep Learning Architecture for Graph Classification	2018	1,519

Links

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Topics

Advanced Graph Neural Networks	Computer Science
Complex Network Analysis Techniques	Physics and Astronomy
Human Mobility and Location-Based Analysis	Social Sciences

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports3 author record(s) attached.
supports28 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:56+00:00.

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