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References from MOSAIC: Learning Graph Node Embeddings from Spectrally Isolated Dominant Subspaces of Accumulated Diffusion Operators. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1145/2939672.2939754
10.1145/2939672.2939754 · External reference
10.1145/2623330.2623732
10.1145/2623330.2623732 · External reference
10.1109/cvpr.2019.01066
10.1109/cvpr.2019.01066 · External reference
10.7551/mitpress/1120.003.0080
10.7551/mitpress/1120.003.0080 · External reference
10.1162/necoa01434
10.1162/necoa01434 · External reference
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Less but more: Linear adaptive graph learning empowering spatiotemporal forecasting
2026 · External reference
GraphMoRE: Mitigating topological heterogeneity via mixture of Riemannian experts
10.1609/aaai.v39i11.33279 · 2025 · External reference
Contrastive Laplacian eigenmaps
2021 · External reference
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Global concept-based interpretability for graph neural networks via neuron analysis
10.1609/aaai.v37i9.26267 · 2023 · External reference
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Self-supervised learning of graph neural networks: A unified review
2022 · External reference
10.1515/9781400869312-013
10.1515/9781400869312-013 · External reference
10.1101/2025.08
10.1101/2025.08 · External reference
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10.32614/cran.package.uwot
10.32614/cran.package.uwot · External reference
10.32614/cran.package.xgboost
10.32614/cran.package.xgboost · External reference
10.1186/1471-2105-12-77
10.1186/1471-2105-12-77 · External reference
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10.1145/3357384.3357879
10.1145/3357384.3357879 · External reference
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Hashing-accelerated graph neural networks for link prediction
2021 · External reference
DICER1 syndrome: what do we know of the pathogenetic mechanisms?
10.3390/cancers17172885 · 2025 · External reference
