Modeling Relational Data with Graph Convolutional Networks

Michael Schlichtkrull; Thomas Kipf; Peter Bloem; Rianne van den Berg; Ivan Titov; Max Welling

doi:https://doi.org/10.1007/978-3-319-93417-4_38

Modeling Relational Data with Graph Convolutional Networks

2018 · Lecture notes in computer science · 5,233 citations · 9 from inside this corpus

Michael Schlichtkrull, Thomas Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling

No abstract in the source record.

18 of 18 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→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Heterogeneous Graph Neural Network→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Graph Neural Networks: A Review of Methods and Applications→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Heterogeneous Graph Transformer→Modeling Relational Data with Graph Convolutional NetworksLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→The Graph Neural Network ModelLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Semi-Supervised Classification with Graph Convolutional NetworksLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Translating Embeddings for Modeling Multi-relational DataLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Convolutional 2D Knowledge Graph EmbeddingsLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→Embedding Entities and Relations for Learning and Inference in Knowledge BasesLegacy 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
Modeling Relational Data with Graph Convolutional Networks→Reasoning With Neural Tensor Networks for Knowledge Base CompletionLegacy edge — source detail unavailable
Modeling Relational Data with Graph Convolutional Networks→The Expression of a Tensor or a Polyadic as a Sum of ProductsLegacy edge — source detail unavailable
Embedding Entities and Relations for Learning and Inference in Knowledge Bases→Reasoning With Neural Tensor Networks for Knowledge Base CompletionLegacy edge — source detail unavailable
Embedding Entities and Relations for Learning and Inference in Knowledge Bases→Translating Embeddings for Modeling Multi-relational DataLegacy edge — source detail unavailable
Embedding Entities and Relations for Learning and Inference in Knowledge Bases→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
Translating Embeddings for Modeling Multi-relational Data→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
Semi-Supervised Classification with Graph Convolutional Networks→The Graph Neural Network ModelLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Embedding Entities and Relations for Learning and Inference in Knowledge BasesLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Translating Embeddings for Modeling Multi-relational DataLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Convolutional 2D Knowledge Graph Embeddings→Semi-Supervised Classification with Graph Convolutional NetworksLegacy edge — source detail unavailable
Graph Neural Networks: A Review of Methods and Applications→The Graph Neural Network ModelLegacy edge — source detail unavailable
Graph Neural Networks: A Review of Methods and Applications→Reasoning With Neural Tensor Networks for Knowledge Base CompletionLegacy edge — source detail unavailable
Graph Neural Networks: A Review of Methods and Applications→Translating Embeddings for Modeling Multi-relational DataLegacy 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→Heterogeneous Graph Neural NetworkLegacy edge — source detail unavailable
Graph Neural Networks: A Review of Methods and Applications→Deep Learning on Graphs: A SurveyLegacy edge — source detail unavailable
Graph Neural Networks: A Review of Methods and Applications→A Comprehensive Survey on Graph Neural NetworksLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→The Graph Neural Network ModelLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy edge — source detail unavailable
Heterogeneous Graph Attention Network→Semi-Supervised Classification with Graph Convolutional NetworksLegacy edge — source detail unavailable
Heterogeneous Graph Neural Network→Semi-Supervised Classification with Graph Convolutional NetworksLegacy edge — source detail unavailable
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications→Embedding Entities and Relations for Learning and Inference in Knowledge BasesLegacy edge — source detail unavailable
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications→Reasoning With Neural Tensor Networks for Knowledge Base CompletionLegacy edge — source detail unavailable
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications→Translating Embeddings for Modeling Multi-relational DataLegacy edge — source detail unavailable
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications→Convolutional 2D Knowledge Graph EmbeddingsLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→The Graph Neural Network ModelLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Heterogeneous Graph Attention NetworkLegacy edge — source detail unavailable
Deep Learning on Graphs: A Survey→Graph neural networks: A review of methods and applicationsLegacy edge — source detail unavailable
Heterogeneous Graph Transformer→Semi-Supervised Classification with Graph Convolutional NetworksLegacy edge — source detail unavailable
Heterogeneous Graph Transformer→Heterogeneous Graph Attention NetworkLegacy edge — source detail unavailable
Heterogeneous Graph Transformer→Heterogeneous Graph Neural NetworkLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→The Graph Neural Network ModelLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Reasoning With Neural Tensor Networks for Knowledge Base CompletionLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Translating Embeddings for Modeling Multi-relational DataLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringLegacy 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→Heterogeneous Graph Attention NetworkLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→Heterogeneous Graph Neural NetworkLegacy edge — source detail unavailable
Graph neural networks: A review of methods and applications→A Comprehensive Survey on Graph Neural NetworksLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→The Graph Neural Network ModelLegacy edge — source detail unavailable
A Comprehensive Survey on Graph Neural Networks→Heterogeneous Graph Attention NetworkLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Distributed Representations of Words and Phrases and their Compositionality	2013	18,054
The Graph Neural Network Model	2008	9,662
Semi-Supervised Classification with Graph Convolutional Networks	2016	8,058
Translating Embeddings for Modeling Multi-relational Data	2013	5,188
Convolutional 2D Knowledge Graph Embeddings	2018	2,467
Embedding Entities and Relations for Learning and Inference in Knowledge Bases	2014	2,051
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	1,703
Reasoning With Neural Tensor Networks for Knowledge Base Completion	2013	1,665
The Expression of a Tensor or a Polyadic as a Sum of Products	1927	1,389

What cites it, inside the corpus

Paper	Year	Cited
Graph neural networks: A review of methods and applications	2020	5,808
A Comprehensive Survey on Graph Neural Networks	2020	3,307
Heterogeneous Graph Attention Network	2019	2,999
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications	2021	2,862
Convolutional 2D Knowledge Graph Embeddings	2018	2,467
Deep Learning on Graphs: A Survey	2020	1,560
Heterogeneous Graph Neural Network	2019	1,532
Graph Neural Networks: A Review of Methods and Applications	2018	1,448
Heterogeneous Graph Transformer	2020	1,432

Links

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Topics

Advanced Graph Neural Networks	Computer Science
Topic Modeling	Computer Science
Bayesian Modeling and Causal Inference	Computer Science

Is this record sound?

complete

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

supports6 author record(s) attached.
supports45 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 2026-09-04T03:58:44+00:00.

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