An Empirical Study of the GraphSAGE and Word2vec Algorithms for Graph Multiclass Classification

Research article (2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2021) · cited 36× · AI/ML
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An Empirical Study of the GraphSAGE and Word2vec Algorithms for Graph Multiclass Classification

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An Empirical Study of the GraphSAGE and Word2vec Algorithms for Graph Multiclass Classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Empirical Study of the GraphSAGE and Word2vec Algorithms for Graph Multiclass Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-study-of-the-graphsage-and-word2vec-algorithms-for-graph-multiclass-classification
MLA “An Empirical Study of the GraphSAGE and Word2vec Algorithms for Graph Multiclass Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-study-of-the-graphsage-and-word2vec-algorithms-for-graph-multiclass-classification.
BibTeX @misc{4ortxyz_an-empirical-study-of-the-graphsage-and-word2vec-algorithms-for-graph-multiclass-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Empirical Study of the GraphSAGE and Word2vec Algorithms for Graph Multiclass Classification}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-study-of-the-graphsage-and-word2vec-algorithms-for-graph-multiclass-classification}, note = {Accessed: 2026-05-24}}
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