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HeteGraph: graph learning in recommender systems via graph convolutional networks

Research article (Neural Computing and Applications, 2021) · cited 20× · AI/ML
academia openalex:W3118425778
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HeteGraph: graph learning in recommender systems via graph convolutional networks

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HeteGraph: graph learning in recommender systems via graph convolutional networks is a scholarly article[1].

Key Facts

  • HeteGraph: graph learning in recommender systems via graph convolutional networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). HeteGraph: graph learning in recommender systems via graph convolutional networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/hetegraph-graph-learning-in-recommender-systems-via-graph-convolutional-networks
MLA “HeteGraph: graph learning in recommender systems via graph convolutional networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hetegraph-graph-learning-in-recommender-systems-via-graph-convolutional-networks.
BibTeX @misc{4ortxyz_hetegraph-graph-learning-in-recommender-systems-via-graph-convolutional-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HeteGraph: graph learning in recommender systems via graph convolutional networks}}, year = {2026}, url = {https://4ort.xyz/entity/hetegraph-graph-learning-in-recommender-systems-via-graph-convolutional-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HeteGraph: graph learning in recommender systems via graph convolutional networks — https://4ort.xyz/entity/hetegraph-graph-learning-in-recommender-systems-via-graph-convolutional-networks (retrieved 2026-05-24)

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