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gat2vec: representation learning for attributed graphs

Research article (Computing, 2018) · cited 60× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
April 28, 2018as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
Computingas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
gat2vec: representation learning for attributed graphsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W2801306368as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1007/S00607-018-0622-9as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 3
Alberto Montresor, Nasrullah Sheikh, Zekarias T. Kefato
← Author of 3
Alberto Montresor, Nasrullah Sheikh, Zekarias T. Kefato
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Summary

gat2vec: representation learning for attributed graphs is a scholarly article[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). gat2vec: representation learning for attributed graphs. Retrieved October 18, 2026, from https://4ort.xyz/entity/gat2vec-representation-learning-for-attributed-graphs
MLA “gat2vec: representation learning for attributed graphs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/gat2vec-representation-learning-for-attributed-graphs.
BibTeX @misc{4ortxyz_gat2vec-representation-learning-for-attributed-graphs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{gat2vec: representation learning for attributed graphs}}, year = {2026}, url = {https://4ort.xyz/entity/gat2vec-representation-learning-for-attributed-graphs}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): gat2vec: representation learning for attributed graphs — https://4ort.xyz/entity/gat2vec-representation-learning-for-attributed-graphs (retrieved 2026-10-18)

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