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Negative sampling strategies for contrastive self-supervised learning of graph representations

Research article (Signal Processing, 2021) · cited 47× · AI/ML
academia openalex:W3196436997
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Negative sampling strategies for contrastive self-supervised learning of graph representations

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Negative sampling strategies for contrastive self-supervised learning of graph representations is a scholarly article[1].

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  • Negative sampling strategies for contrastive self-supervised learning of graph representations's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Negative sampling strategies for contrastive self-supervised learning of graph representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/negative-sampling-strategies-for-contrastive-self-supervised-learning-of-graph-representations
MLA “Negative sampling strategies for contrastive self-supervised learning of graph representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/negative-sampling-strategies-for-contrastive-self-supervised-learning-of-graph-representations.
BibTeX @misc{4ortxyz_negative-sampling-strategies-for-contrastive-self-supervised-learning-of-graph-representations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Negative sampling strategies for contrastive self-supervised learning of graph representations}}, year = {2026}, url = {https://4ort.xyz/entity/negative-sampling-strategies-for-contrastive-self-supervised-learning-of-graph-representations}, note = {Accessed: 2026-05-24}}
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