\textsc{gat2vec}: representation learning for attributed graphs

DOI10.1007/s00607-018-0622-9zbMath1458.68181OpenAlexW2801306368WikidataQ61717238 ScholiaQ61717238MaRDI QIDQ2218429

Nasrullah Sheikh, Alberto Montresor, Zekarias Kefato

Publication date: 15 January 2021

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00607-018-0622-9

zbMATH Keywords

unsupervised learningdeep learningnetwork embeddingattributed graphs

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10)

Related Items (1)

Community detection in node-attributed social networks: a survey

Uses Software

• LIBLINEAR
• word2vec
• largeVis
• node2vec
• LargeVis
• metapath2vec
• PTE
• DeepWalk
• LINE

Cites Work

• Unnamed Item
• Leveraging social media networks for classification
• 10.1162/jmlr.2003.3.4-5.993

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