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A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis

Research article (Journal of Intelligent Information Systems, 2022) · cited 15× · AI/ML
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A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis

Summary

A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis is a scholarly article[1].

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  • A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis'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). A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-knowledge-enhanced-interactive-graph-convolutional-network-for-aspect-based-sentiment-analysis
MLA “A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-knowledge-enhanced-interactive-graph-convolutional-network-for-aspect-based-sentiment-analysis.
BibTeX @misc{4ortxyz_a-knowledge-enhanced-interactive-graph-convolutional-network-for-aspect-based-sentiment-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis}}, year = {2026}, url = {https://4ort.xyz/entity/a-knowledge-enhanced-interactive-graph-convolutional-network-for-aspect-based-sentiment-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis — https://4ort.xyz/entity/a-knowledge-enhanced-interactive-graph-convolutional-network-for-aspect-based-sentiment-analysis (retrieved 2026-05-24)

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