MGAT: multi-view graph attention networks

DOI10.1016/j.neunet.2020.08.021zbMath1475.68303OpenAlexW3082034060WikidataQ99347156 ScholiaQ99347156MaRDI QIDQ2057755

Yu Xie, Yuanqiao Zhang, Maoguo Gong, Chao Han, Zedong Tang

Publication date: 7 December 2021

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.08.021

zbMATH Keywords

attentiongraph embeddingmulti-view networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10)

Related Items (2)

Multi-view graph embedding clustering network: joint self-supervision and block diagonal representation ⋮ Spectral embedding network for attributed graph clustering

Uses Software

• word2vec
• Adam
• Tensor2Tensor
• node2vec
• ArnetMiner
• AutoNE
• DeepWalk
• LINE

Cites Work

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• Beyond low-rank representations: orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clustering
• Low-rank representation with adaptive graph regularization
• An approximation algorithm for graph partitioning via deterministic annealing neural network

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