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Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks

Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 34× · AI/ML
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Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks

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Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks. Retrieved May 24, 2026, from https://4ort.xyz/entity/perturbation-augmented-graph-convolutional-networks-a-graph-contrastive-learning-architecture-for-effective-node-classif
MLA “Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/perturbation-augmented-graph-convolutional-networks-a-graph-contrastive-learning-architecture-for-effective-node-classif.
BibTeX @misc{4ortxyz_perturbation-augmented-graph-convolutional-networks-a-graph-contrastive-learning-architecture-for-effective-node-classif_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks}}, year = {2026}, url = {https://4ort.xyz/entity/perturbation-augmented-graph-convolutional-networks-a-graph-contrastive-learning-architecture-for-effective-node-classif}, note = {Accessed: 2026-05-24}}
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