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Weakly supervised graph neural network/Ushahidi
Rekodi ya ushahidi wa mbinu

Weakly supervised graph neural network

A Weakly Supervised Graph Neural Network (WS-GNN) is a graph deep-learning approach that learns from graph-structured data — nodes, edges, and their attributes — when only noisy, partial, or indirectly obtained labels are available. By coupling GNN message passing with noise-robust training strategies, it extends graph learning to real-world settings where clean, fully annotated graphs are scarce or expensive to obtain.

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Weakly Supervised Graph Neural Network
Rekodi ya mbinu ya kiajenda · ml-model / deep-learning
  • Kipf, T. N., & Welling, M. (2017). Semi-supervised classification with graph convolutional networks. In Proceedings of the 5th International Conference on Learning Representations (ICLR 2017). · URL
  • Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., & Sun, M. (2020). Graph neural networks: A review of methods and applications. AI Open, 1, 57–81. · DOI 10.1016/j.aiopen.2021.01.001
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Same method familyGraph Convolutional Networkmachine-suggested · Relational suggestion, not evidence.See alsoGraph Neural Network (Network Analysis)machine-suggested · Relational suggestion, not evidence.Same method familyLabel Propagationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSemi-supervised Graph Neural Networkmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeakly supervised convolutional neural networkmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeakly supervised transformermachine-suggested · Relational suggestion, not evidence.

Hali ya ushahidi

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

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