Graph Attention Networks

2017 · arXiv (Cornell University) · 8,400 citations · 6 from inside this corpus

Guillem Cucurull, Arantxa Casanova low, Adriana Romero, Yoshua Bengio

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.

6 of 6 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

What cites it, inside the corpus

Paper	Year	Cited
A Comprehensive Survey on Graph Neural Networks	2020	3,307
Graph WaveNet for Deep Spatial-Temporal Graph Modeling	2019	2,884
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond	2019	2,125
Graph Convolutional Networks for Text Classification	2019	2,000
Hypergraph Neural Networks	2019	1,720
DeepGCNs: Can GCNs Go As Deep As CNNs?	2019	1,380

Links

Open access copy · OpenAlex record

Topics

Advanced Graph Neural Networks	Computer Science
Machine Learning in Materials Science	Materials Science
Bioinformatics and Genomic Networks	Biochemistry, Genetics and Molecular Biology

Is this record sound?

partial

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

supports4 author record(s) attached.
weakensNo references are recorded despite 8,400 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…