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Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training

Research article (Pattern Recognition, 2024) · cited 10× · AI/ML
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Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training

Summary

Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training is a scholarly article[1].

Key Facts

  • Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training. Retrieved May 24, 2026, from https://4ort.xyz/entity/scalable-and-adaptive-graph-neural-networks-with-self-label-enhanced-training
MLA “Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scalable-and-adaptive-graph-neural-networks-with-self-label-enhanced-training.
BibTeX @misc{4ortxyz_scalable-and-adaptive-graph-neural-networks-with-self-label-enhanced-training_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training}}, year = {2026}, url = {https://4ort.xyz/entity/scalable-and-adaptive-graph-neural-networks-with-self-label-enhanced-training}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training — https://4ort.xyz/entity/scalable-and-adaptive-graph-neural-networks-with-self-label-enhanced-training (retrieved 2026-05-24)

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