Who Cited It

Relational inductive biases, deep learning, and graph networks

2018 · arXiv (Cornell University) · 2,406 citations · 6 from inside this corpus

Álvaro Sánchez‐González, Vinícius Zambaldi low, Mateusz Malinowski, Andrea Tacchetti, David Raposo low, Adam Santoro low, Ryan Faulkner low, Çağlar Gülçehre, H. Francis Song low, Andrew J. Ballard low, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, C. Nash, Victoria Langston low, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu

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.

Relational inductive biases, deep learning, and graph networks (2018)Relational inductive biases, …Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Glove: Global Vectors for Word Representation (2014)Glove: Global Vectors for Wor…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (1988)Probabilistic Reasoning in In…Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2024)Batch Normalization: Accelera…Causality (2009)CausalityThe Graph Neural Network Model (2008)The Graph Neural Network ModelDeep Learning (2016)Deep LearningEffective Approaches to Attention-based Neural Machine Translation (2015)Effective Approaches to Atten…Attention Is All You Need (2025)Attention Is All You NeedRecursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013)Recursive Deep Models for Sem…Probabilistic graphical models : principles and techniques (2009)Probabilistic graphical model…Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (2017)Model-Agnostic Meta-Learning …Translating Embeddings for Modeling Multi-relational Data (2013)Translating Embeddings for Mo…Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (2017)Inception-v4, Inception-ResNe…Neural Networks and the Bias/Variance Dilemma (1992)Neural Networks and the Bias/…Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Human-level concept learning through probabilistic program induction (2015)Human-level concept learning …Linguistic Regularities in Continuous Space Word Representations (2013)Linguistic Regularities in Co…Fusion, propagation, and structuring in belief networks (1986)Fusion, propagation, and stru…A new model for learning in graph domains (2006)A new model for learning in g…How to Grow a Mind: Statistics, Structure, and Abstraction (2011)How to Grow a Mind: Statistic…Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms (1963)Principles of Neurodynamics: …Introduction to Statistical Relational Learning (2007)A Structured Self-attentive Sentence Embedding (2017)Hybrid computing using a neural network with dynamic external memory (2016)Hybrid computing using a neur…Distributed representations, simple recurrent networks, and grammatical structure (1991)Graph neural networks: A review of methods and applications (2020)Graph neural networks: A revi…A Comprehensive Survey on Graph Neural Networks (2020)A Comprehensive Survey on Gra…A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2021)Graph Convolutional Networks for Text Classification (2019)Graph Convolutional Networks …Deep Learning on Graphs: A Survey (2020)Deep Learning on Graphs: A Su…Graph Neural Networks: A Review of Methods and Applications (2018)Graph Neural Networks: A Revi…
35 of 35 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.
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What this paper cites, inside the corpus

PaperYearCited
Dropout: a simple way to prevent neural networks from overfitting201434,236
Glove: Global Vectors for Word Representation201434,067
Deep learning in neural networks: An overview201418,236
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference198816,981
Mastering the game of Go with deep neural networks and tree search201616,014
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…202415,663
Causality200911,477
The Graph Neural Network Model20089,662
Deep Learning20168,952
Effective Approaches to Attention-based Neural Machine Translation20158,617
Attention Is All You Need20257,133
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank20136,849
Probabilistic graphical models : principles and techniques20096,450
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks20175,794
Translating Embeddings for Modeling Multi-relational Data20135,188
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning20174,487
Neural Networks and the Bias/Variance Dilemma19923,612
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…20143,518
Sequence to Sequence Learning with Neural Networks20143,514
Human-level concept learning through probabilistic program induction20152,958
Linguistic Regularities in Continuous Space Word Representations20132,885
Fusion, propagation, and structuring in belief networks19862,154
A new model for learning in graph domains20061,944
How to Grow a Mind: Statistics, Structure, and Abstraction20111,923
Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms19631,828
Introduction to Statistical Relational Learning20071,645
A Structured Self-attentive Sentence Embedding20171,473
Hybrid computing using a neural network with dynamic external memory20161,448
Distributed representations, simple recurrent networks, and grammatical structure19911,383

What cites it, inside the corpus

PaperYearCited
Graph neural networks: A review of methods and applications20205,808
A Comprehensive Survey on Graph Neural Networks20203,307
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications20212,862
Graph Convolutional Networks for Text Classification20192,000
Deep Learning on Graphs: A Survey20201,560
Graph Neural Networks: A Review of Methods and Applications20181,448

Links

DOI · Open access copy · OpenAlex record

Topics

Advanced Graph Neural NetworksComputer Science
Bayesian Modeling and Causal InferenceComputer Science
Complex Network Analysis TechniquesPhysics and Astronomy

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partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports24 author record(s) attached.
  • supports176 reference(s) recorded.
  • weakensThe DOI names 2025 but the record dates this to 2,018. One of the two is about a different paper.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…